Orangemint Technologies Private Limited

We're building in a market that hit $47B in 2026 and is on track to hit $107.5B by 2028 and we're not chasing that opportunity from the sidelines. Our founding team brings marketing expertise from Kotak and Amazon paired with deep AI chops, we were selected as one of just 20 startups by Google, and we already have paying customers like Kotak and Myntra using the product in production. Join us early and help build the infrastructure that turns AI marketing adoption (already at 88%) into real, scaled results for customers who are already paying for it, not case studies.

Founding Product Engineer, Applied AI

Location: Mumbai • Hybrid • Reports to: CTO

WHAT THIS ROLE ACTUALLY IS

Weve built a multi-agent AI system for marketing. It works well out of the box but every client (their data, workflows, brand rules, compliance constraints, output preferences) is different. Generic doesnt ship results. Customised does.

This role is the bridge: you sit between our agent architecture and the client’s reality. You understand both deeply, and you make the agents do what each specific client needs them to do.

Think Palantir Forward Deployed Engineer, but for AI agents. An engineer who owns product outcomes end-to-end.

WHAT YOU'LL DO

Day-to-day split: roughly 60% in Codex and Claude Code shipping customisations, 40% in client rooms understanding what to ship next.

• Customise the agents. Tune prompts, build new agent capabilities, configure workflows, wire up integrations. Codex and Claude Code are your primary IDEs. You ship working code, not specs for someone else to build.
• Own client outcomes end-to-end. From discovery to live deployment, you are the person responsible for whether the agents actually solve the client’s problem. No PM-engineer handoff to hide behind.
• Problem-solve in real time. Client says “the output tone is off for our brand” or “the research agent is missing X data source” — you diagnose, fix, and redeploy, usually within days.
• Hold your own on creative. When a CMO says “this doesn’t feel right,” you can question intelligently — is it the prompt, the input brief, the brand guidelines themselves, or the client’s own confusion? Most engineers reach for the prompt. The good ones diagnose first.
• Feed learnings back to core product. Anything that gets customised 3+ times becomes a platform feature. You decide what graduates.
• Build the playbook. As we scale from 10 to 50 to 100 clients, the customisation patterns you create become the foundation others work from.

WHAT YOU NEED

• Real engineering chops. You can read a codebase, write production code, debug agent failures, and ship to live clients. AI tools are your accelerant, not your crutch.
• Comfort with agents as a system. You understand how LLMs fail, why prompts drift, what context engineering means, when to use tools vs. fine-tuning, why eval harnesses matter. If “MCP,” “tool use,” and “agent harness” feel like jargon, this isn’t the role.
• Client-facing instincts. Comfortable in a room with a CMO, an enterprise IT head, and a junior brand manager — and you can switch register for each in the same meeting. If client calls feel like tax to you, don’t apply.
• Some creative literacy. You don’t need to be a designer. You do need to be able to tell the difference between “this output is technically broken” and “this output is technically fine but creatively wrong” — and chase the right thread.
• Bias toward shipping. A working hack today beats a clean design next quarter.

YOU'LL THRIVE HERE IF

• You’re an engineer who realised products live or die on customisation, not architecture.
• You’ve been frustrated by being kept away from customers.
• You like building with AI tools and want a role where that’s the job, not a side experiment.
• You like marketing as a domain — or you’re willing to fall in love with it.

YOU WON'T THRIVE HERE IF

• You want to optimise systems in a corner with headphones on.
• You think client calls are below your pay grade.
• You think AI is overhyped (we don’t).
• You need a fully scoped ticket queue and weekly sprint rituals.

We're building in a market that hit $47B in 2026 and is on track to hit $107.5B by 2028 and we're not chasing that opportunity from the sidelines. Our founding team brings marketing expertise from Kotak and Amazon paired with deep AI chops. We were selected into Google's AI Accelerator program, and we already have paying customers like Kotak and Myntra using the product in production.

Join us early and help build the infrastructure that turns AI marketing adoption (already at 88%) into real, scaled results for customers who are already paying for it, not case studies.

Role Name: Founding Product Manager, Applied AI

Location: Mumbai • Hybrid •

Reports to: CTO

WHAT THIS ROLE ACTUALLY IS

Weve built a multi-agent AI system for marketing. It works well out of the box but every client (their data, workflows, brand rules, compliance constraints, output preferences) is different. Generic doesn’t ship results. Customised does.

This role is the bridge: you sit between our agent architecture and the client’s reality. You understand both deeply, and you make the agents do what each specific client needs them to do.

You’re a PM who knows the spec-to-engineer handoff is where products die. So you don’t hand off. You open Claude Code or Codex and ship the change yourself.

WHAT YOU'LL DO

Day-to-day split: roughly 60% on client work, product judgment, and shaping what to ship — 40% directly in Codex and Claude Code shipping it.

·      Own client outcomes end-to-end. From discovery to live deployment, you are the person responsible for whether the agents actually solve the client’s problem.

·      Translate ambiguity into working systems. Clients don’t know what they want until they see it. You probe, prototype, demo, iterate — without waiting for an engineer to be free.

·      Customise the agents yourself. Tune prompts, build new agent capabilities, configure workflows, wire up integrations. Codex and Claude Code do the heavy lifting; your product judgment does the steering.

·      Diagnose creative problems sharply. When a CMO says “this doesn’t feel right,” you can question intelligently — is it the prompt, the input brief, the brand guidelines themselves, or the client’s own confusion? Most PMs nod and forward to engineering. The good ones diagnose first, then fix.

·      Feed learnings back to core product. Anything that gets customised 3+ times becomes a platform feature. You decide what graduates.

·      Build the playbook. As we scale from 10 to 50 to 100 clients, the customisation patterns you create, become the foundation others work from.

WHAT YOU NEED

·      Real product judgment. You can hear “we need a dashboard” and figure out the actual problem is “the marketing director doesn’t trust the agent’s decisions yet.” You’ve done this before, in a role where the outcome was on you.

·      Hands-on technical ability. You don’t need a CS degree, but you must be able to read code, write code with AI tools, debug, and ship. If you’ve never opened Claude Code or Codex and built something real, this role isn’t for you. Coding is part of the daily job, not an occasional adventure.

·      Comfort with agents as a system. You understand how LLMs fail, why prompts drift, what context engineering means, when to use tools vs. fine-tuning, why eval harnesses matter. If “MCP,” “tool use,” and “agent harness” feel like jargon, this isn’t the role.

Client-facing instincts. Comfortable in a room with a CMO, an enterprise IT head, and a junior brand manager — and you can switch register for each in the same meeting.

·      Creative literacy. You don’t need to be a designer. You do need to be able to tell the difference between “this output is technically broken” and “this output is technically fine but creatively wrong” — and chase the right thread.

·      Bias toward shipping. A working hack today beats a clean design next quarter.

YOU'LL THRIVE HERE IF

·      You’re a PM who realised the engineer handoff is where your products die.

·      You’ve quietly learned to ship in Claude Code or Cursor on the side because you got tired of waiting.

·      You want a role where coding ability is upside, not heresy.

·      You like marketing as a domain — or you’re willing to fall in love with it.

YOU WON'T THRIVE HERE IF

·      You want to write strategy decks more than you want to ship features.

·      You think “PM doesn’t code” is a principle worth defending.

·      You think AI is overhyped (we don’t).

·      You need a fully scoped backlog and weekly sprint rituals.

Are you looking for embedded work where "it compiles" isn't good enough it has to survive 5,000+ km and 30+ days underwater without a single reboot? This is hardware and firmware built for zero-margin-for-error conditions. Read on, if you are interested...

Job Title: Lead - Embedded Engineering

Location: Bangalore | Full-Time | Experience: 8-10 Years

About Client Company

Client Company is building autonomous ships and submarines that operate in the world's most hostile environments. We're executing India's flagship autonomous submarine project — the Jalkapi XLAUV — on order from the Indian Navy. This is an unmanned submarine weighing over 20 tons that can travel 5,000+ kilometers autonomously and operate in the ocean for 30+ days at a time.

We're creating some of the largest autonomous robots in the world, machines with direct impact on the global economy and national security. While autonomous cars in India may still be a dream, autonomous ships and submarines are already a reality, and it is possible to build for the world from India.

The Role

·      We are looking for Lead - Embedded Engineering to own the electrical, electronics, power systems, and firmware that bring our autonomous vessels to life. In this role, you will:

·      Own the vessel’s electrical and embedded systems end-to-end — firmware, PCB design, schematics, wiring, and power electronics.

·      Design the electrical and power architecture of the platform, from board level to whole-vessel wiring.

·      Work closely with our mechanical, software, and robotics teams to integrate, bring up, and field-test the platform.

·      This is a rare opportunity to build the embedded and electrical backbone of real-world autonomous platforms that operate in some of the most challenging environments on the planet.

Key Responsibilities

·      Lead & Own the electrical and embedded systems effort — the firmware, electronics, and power systems that run the vessel.

·      Design & Develop PCBs, schematics, and wiring diagrams for the whole vessel, covering compute, power, communication, and sensor/actuator interfaces.

·      Design driving and power-electronics circuits — DC-DC converters, power supplies, electrical isolation, and protection — with due attention to EMI/EMC.

·      Develop & Maintain firmware for microcontrollers and onboard compute, ensuring reliable real-time operation.

·      Integrate sensors and actuators — such as GNSS, INS/AHRS, altimeters, pressure and depth sensors, acoustic modems, thrusters, fins, and battery systems — into the platform.

·      Support hardware bring-up, wiring, and in water testing of the vessel, in coordination with the mechanical and software teams.

·      Drive power management and energy-system design for long-endurance autonomous operation.

·      Plan and conduct compliance and qualification testing of the electronics and power systems — including EMI/EMC, environmental, and related checks — to ensure the platform meets the required standards.

·      Maintain thorough engineering documentation — schematics, wiring diagrams, design records, and test reports — to ensure traceability and supportability across the platform's life.

·      Establish robust electrical and embedded development, review, and testing practices to ensure dependability during trials and at sea.

·      Support field trials (pool, harbour, and sea) — diagnosing and resolving embedded, electrical, and hardware issues on site.

·      Mentor & Guide embedded engineers and uphold engineering best practices.

Required Qualifications

·      8-10 years of hands-on embedded systems experience spanning firmware, hardware, and power electronics.

·      Strong embedded firmware skills for microcontroller-based systems.

·      Strong hardware design skills — schematic capture, multi-layer PCB design, and board debugging.

·      Experience integrating sensors and actuators over interfaces such as UART, SPI, I2C, CAN, and RS-232/485.

·      A working understanding of how device drivers interface with the higher-level software/autonomy stack.

·      Strong debugging skills across hardware and firmware.

Preferred Experience

·      Background in robotics, marine/subsea systems, defense, automotive, or aerospace.

·      Experience with autonomous or unmanned systems.

·      Familiarity with power system design

Why Join Company

·      Build the Hardware That Brings Autonomy to Life: You will build the electrical, electronics, power systems, and firmware that run autonomous vessels across a range of applications — from our flagship Jalkapi XLAUV, a 20-ton submarine travelling 5,000+ kilometres underwater, on platforms operating from the coast to the deep sea. The challenge of building hardware that runs reliably for weeks, beneath the surface, is unlike anything else being built in India.

·      Mission Impact: The electronics and firmware you build are the nervous system of vessels on live missions — including defence and security operations of national importance. Every board you design and every line of firmware you write directly shapes whether the platform performs, and returns safely.

·      Technical Ownership: You will own the embedded and electrical stack from the ground up — hardware, power, firmware, integration, and bring-up.

·      Cross-Disciplinary Work: Work at the intersection of electronics, power, mechanical, software, and robotics. Few embedded roles let you work this close to the full system you help bring to life.

·      Benefits: Compensation benchmarked to top-quartile for the role, health insurance for you and your family and other benefits.

Are you looking to break out of the silo of pure-tech engineering and build systems that directly move millions in global revenue? If you want to own an entire, high-impact platform end-to-end and see the immediate business value of your code every single day, this is your playground. At Ultrahuman, you will act as a critical bridge between deep engineering and global market execution, turning data intelligence into autonomous, revenue-driving action across 100+ countries. 

About the Company: 

Ultrahuman is one of the world's fastest-growing wearable companies. The Ultrahuman Ring AIR — the world's lightest sleep-tracking smart ring — sells in 100+ countries. We operate like a product company in every function, and marketplaces is no exception: our Amazon business across the UK, Germany, Canada, Australia, India, the UAE and beyond runs on uh-amazon, an in-house platform we built ourselves. 

Role: Marketplace Platform Engineer 

Location: Begur, Bengaluru 

Schedule: Hybrid. 

Marketplace Platform Engineer 

Turn a read-only intelligence platform into the hands that run a global Amazon business. 

Why this role exists 

uh-amazon already does the seeing: a fleet of agents producing daily intelligence across every marketplace, an automated fulfillment middleware that intercepts and routes every order, and a self-hosted agent platform the team uses without writing code. But it writes almost nothing back to Amazon — every ads change, price correction, and listing push is still done by hand. That write side is unbuilt, and it is worth more than the entire team's cost: the daily briefs already flag large sums of recoverable ad spend that no one has the hands to recover. You will be the platform's owner and the team's force multiplier. 

What you'll own 

• The uh-amazon codebase end-to-end — the FastAPI middleware, the agent fleet, the self-hosted agent platform, and the deploy pipeline 
• The write side, behind staged approval gates — the order-management bridge first, then ads execution, repricing, and listing-push agents, each earning the right to act 
• Platform trust — kill the false-positive classes and fix the chronically failing agents, so the team acts on the briefs instead of second-guessing them 
• Operator self-serve — the team adds and tunes agents through the platform without touching code 

Your first 90 days 

• Ship the order-management bridge that removes the last manual step in fulfillment 
• Ship the first ads-execution agent behind a human approval gate, working the platform's existing recommendation lists 
• Eliminate the top false-positive classes in the daily briefs 

What we're looking for 

• Strong Python (FastAPI or similar) and real API-integration depth — OAuth, rate limits, retries, idempotency; you have built against messy third-party APIs in production 
• LLM-agent experience — you have built tool-using agents or LLM pipelines, designed prompts and tool schemas, and debugged why a model did something 
• Ship-fast evidence — small PRs, production ownership, comfort being the only engineer on a system 
• Comfort owning production writes against a live revenue channel, with gates and audit trails you design 

Strongly preferred 

• Amazon SP-API or Ads API experience specifically — this collapses your ramp to near zero 
• E-commerce domain (order management, marketplaces, repricing, feeds); container/orchestration experience 
• A public GitHub with real contributions 

Role: Senior MCAL Engineer 

Location: Ahmedabad (On-site) 

Experience: 7–10 Years 

Type: Full Time 

About company 

Requisimus is an IT consulting and service organization headquartered in Germany. With over 25 years of expertise and global presence, we are committed to customer excellence and focused in addressing niche areas of product engineering, process consulting and software development in automotive, railways, production automation, data management and business IT domains. Requisimus, India incubated since 2023, is focused on providing consulting and engineering services for embedded product development and software solutions. 

Job Summary 

We are seeking experienced Senior MCAL Engineers with 7–10 years of expertise in AUTOSAR Classic Platform development for automotive ECUs. The ideal candidate will possess strong hands-on experience in MCAL development, configuration, integration, and AUTOSAR BSW integration on Infineon AURIX (TC3xx/TC4xx) microcontroller platforms. The role requires strong Embedded C programming skills, software integration expertise, and adherence to Automotive SPICE and quality standards while working with global engineering teams. 

Key Responsibilities 

MCAL Development & Configuration: Configure and integrate AUTOSAR MCAL modules for automotive ECU projects. 

AUTOSAR BSW Integration: Integrate MCAL with AUTOSAR Basic Software (BSW), ECU Abstraction Layer and RTE. 

Software Development & Validation: Develop embedded software using C language and perform testing/debugging. 

Process Compliance & Quality: Follow Automotive SPICE and MISRA-C guidelines. 

Technical Leadership & Collaboration: Mentor junior engineers and collaborate with global teams. 

Required Skills & Experience 

Bachelor's or Master's degree in Electronics, Electrical Engineering, Computer Science, or a related field. 

7–10 years of experience in Automotive Embedded Software Development. 

Strong experience in AUTOSAR Classic Platform development and integration. 

Hands-on experience with MCAL modules such as MCU, PORT, DIO, ADC, GPT, ICU, PWM, WDG, SPI, CAN, LIN, FLS, and FEE. 

Good understanding of AUTOSAR architecture, including MCAL, ECU Abstraction Layer, BSW, and RTE. 

Experience in ECU bring-up, board support package integration, and software integration activities. 

Strong Embedded C programming and debugging skills. 

Experience in root cause analysis and troubleshooting of embedded software issues. 

Hands-on experience with Infineon AURIX microcontrollers (TC3xx, TC4xx). 

Knowledge of multicore architectures and software development on AURIX platforms. 

Experience with AUTOSAR configuration tools such as EB Tresos, Vector DaVinci Configurator, or equivalent. 

Strong understanding of automotive communication protocols such as CAN, LIN, and SPI. 

Experience with software configuration management tools such as Git and Bitbucket. 

Experience with defect and change management tools such as Jira. 

Good to have 

Exposure to ISO 26262 Functional Safety projects. 

Experience with Vector CANoe and CANalyzer. 

Knowledge of automotive diagnostics and bootloader development. 

Experience with Ethernet and automotive communication stacks. 

Python scripting for automation and tooling activities. 

What We Offer 

Opportunity to work on cutting-edge automotive software programs for global customers 

Exposure to AUTOSAR Classic Platform and Infineon AURIX TC3xx/TC4xx technologies 

Collaborative and dynamic engineering environment 

Learning and development opportunities 

Technical leadership and career growth opportunities 

Looking to grow your career with a global leader?

Join the Indian unit of a multi-billion dollar German MNC (owned by Schneider Electric) that offers:

·      High Growth: 20% YoY expansion building world-beating software.

·      True Balance: Peak performance with a 4.1 Glassdoor rating for work-life balance.

Apply to the job below!

Job Title: Senior Backend Engineer (.NET Core)

Location: Nashik, India

Employment Type: Full time

Experience: 8+ years

The job  

We are looking for a Senior Backend Engineer (.NET Core) to join our team. This is a hands-on individual contributor role with additional responsibility to guide and mentor backend engineers across senior, mid, and junior levels.

The ideal candidate should have strong experience in .NET Core (8.0+), microservices architecture, API design, and cloud-native development on Azure. The candidate will actively contribute to platform-level backend services, shared components, and integrations across EcoTools and Unify initiatives, while helping establish backend engineering best practices across the team.

Key responsibilities 

- Design, develop, and maintain scalable backend services and APIs using .NET Core (8.0+).

- Build microservices-based backend APIs and tools aligned with EcoTools platform architecture.

- Develop secure and high-performance REST APIs used by micro frontend applications and other services.

- Contribute to backend architecture decisions, including service design, API standards, authentication, and data access patterns.

- Integrate backend services with platform services such as authentication, messaging, logging, and shared Unify components.

- Ensure backend solutions meet non-functional requirements (performance, scalability, reliability, and security).

- Guide and mentor backend engineers through code reviews, design discussions, and architectural best practices.

- Collaborate with frontend engineers, DevOps, and platform teams to ensure seamless system integration.

- Implement unit and integration tests to ensure high code quality and reliability.

- Contribute to CI/CD pipelines, deployment automation, and observability improvements.

- Participate in technical documentation, ADR discussions, and architectural governance reviews.

- Support engineering teams in troubleshooting production issues and improving system stability. 

Essential requirements

- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

- 6–9 years of hands-on backend development experience using .NET Core / ASP.NET Core.

- AI Skill Level: Has built or contributed to AI-powered features. Understands prompt, design, evaluation, guardrails, and failure modes.

- Have hands on in spec/skill driven agentic AI development. 

- Strong expertise in REST API design, microservices architecture, and distributed systems.

- Experience working with Azure cloud services (App Services, Azure SQL, Event Hub, Service Bus, or similar).

- Solid understanding of authentication and authorization mechanisms (OAuth2, JWT, OpenID Connect).

- Experience with database technologies such as SQL Server, PostgreSQL, or NoSQL systems.

- Strong knowledge of clean architecture principles, SOLID design patterns, and scalable backend design.

- Experience working in Agile software development environments.

- Strong communication and collaboration skills.

- Strong problem-solving skills, debugging, and performance optimization skills, ownership mindset, and ability to collaborate across teams. 

- Experience working in Agile software development methodologies.

- Ability to manage responsibilities independently and deliver results within deadlines.

Desired skills and competencies

- Experience with distributed application frameworks such as Dapr.

- Exposure to event-driven architectures and messaging systems.

- Familiarity with API Management, gateway patterns, and platform integrations.

- Experience working with large-scale SaaS platforms and micro services architectures.

- Exposure to AI-assisted development tools and modern engineering practices.

Looking to grow your career with a global leader?

Join the Indian unit of a multi-billion dollar German MNC (owned by Schneider Electric) that offers:

• High Growth: 20% YoY expansion building world-beating software.
• True Balance: Peak performance with a 4.1 Glassdoor rating for work-life balance.

Apply to the job below!

Sr. Flutter (Mobility) Developer

Location: Nashik / Pune (Baner)

Employment Type: Full-time

Experience Required: 7 to 10 Years

Experience

• 5+ years of hands-on Flutter experience in production environments
• Experience delivering enterprise-grade mobile applications deployed to app stores
• Strong experience working in Agile / Scrum environments
• Hands-on experience participating in technical design discussions
• Exposure to guiding or mentoring junior developers is preferred
• Demonstrable AI-augmented engineering practice — daily use of AI coding assistants

Required Skill Set

• Strong expertise in Flutter and Dart, with experience building scalable mobile applications
• Solid understanding of mobile architecture patterns (MVC / MVP / MVVM, Clean Architecture basics)
• Experience with state management solutions (BLoC, Riverpod, Provider, etc.)
• Proficiency in building modular Flutter applications and reusable UI components
• Good understanding of Android and iOS fundamentals, lifecycles, and platform limitations
• Knowledge of and ability to leverage iOS and Android platform capabilities, including native features (rich push notifications, app shortcuts, deep OS integration), background tasks, automation, and device-level integrations (sensors, geofencing, NFC, Bluetooth)
• Experience with REST / GraphQL API integration and network handling
• Knowledge of secure coding practices and basic mobile security concepts
• Experience in performance optimization, memory management, and efficient rendering
• Familiarity with CI/CD pipelines, automated testing (unit, widget, integration), and build processes
• Experience with app store releases, versioning, rollout, and production support
• Strong collaboration skills with backend, QA, DevOps, and product teams
• Active, daily use of AI coding assistants as part of a personal engineering workflow
• Ability to articulate where AI accelerates work and where it falls short
• Habit of reviewing, testing, and questioning AI-generated code rather than accepting it blindly
• Comfort with prompt iteration, context-setting, and prompting patterns for code, refactors, and debugging
• Curiosity about emerging AI tooling in the mobile space (AI-assisted UI generation, on-device LLMs, AI-powered testing, etc.)

Responsibilities

• Design, develop, and maintain robust Flutter mobile applications
• Translate functional and technical requirements into clean, maintainable code
• Collaborate closely with mobile architects to align with platform standards and best practices
• Participate in code reviews, ensuring quality and consistency — including reviewing AI-generated contributions with the same rigor as human-written code
• Contribute to technical design and solution discussions, including how AI can be applied to product features and to the development workflow itself
• Identify and resolve performance, stability, and usability issues
• Write unit, widget, and integration tests to ensure application quality
• Support release activities, bug fixes, and production issues
• Mentor junior developers and promote engineering best practices, including responsible and effective use of AI tooling
• Stay current with the evolving AI tooling landscape and share learnings with the team

Are you looking for a super-challenging role designing backend systems that scale to 1000+ TPSs in one of India's fastest growing, profitable near-Unicorns with businesses spanning Lending, E-comm and UPI? Then this is the role for you.

Client Company is a profitable, rapidly scaling unicorn which is extremely well capitalized. Client has a very strong moat in the consumer lending space on the back of which it is entering into additional large markets such as E-comm and UPI.

Client company is now entering its next phase of growth from a fast-scaling startup to a robust, high-scale financial platform serving millions of users daily.

You'll design systems built for 10x100x growth, make the key technical trade-off calls, and stay deeply hands-on. Beyond building, you'll mentor engineers and work directly with founders and product teams to translate business goals into scalable, reliable systems.

This role is an opportunity to:

• Shape the next-generation architecture for a high-throughput fintech system
• Build systems designed to scale 10x100x from current volumes
• Solve real-world problems across performance, reliability, and financial-grade security

Responsibilities

• Design and evolve the platform architecture to support 10x100x growth
• Own systems end-to-end from the first design decision to production impact
• Lead system design discussions and set the long-term technical direction for the platform
• Identify scale bottlenecks early and drive solutions
• Mentor and elevate engineers through design reviews, code quality, and architectural thinking
• Partner directly with founders and product teams to turn business priorities into scalable systems
• Operate with high ownership in a fast-paced environment where priorities evolve quickly
• Drive projects independently own timelines, coordinate with teams, and see delivery
• Conduct rigorous code reviews and champion engineering best practices across the team
• Proactively identify gaps in the system and come up with concrete approaches to address them
• Solve technical problems across the company not just confined to a single pod
• Challenge existing architecture with data and reasoning push back when its the right call, and drive adoption of better approaches.

Requirements

• 7-12 years of experience in backend or platform engineering
• Strong computer science fundamentals (preferably from IIT, BITS, NITs)
• Strong proficiency in backend development (Node.js, Java, Go, or equivalent)
• Proven experience scaling systems through high-growth startup phases (1→10 or beyond)
• Track record of building and owning critical platforms or systems from scratch
• Exposure to high-volume transactional systems; fintech or lending is a strong plus
• Bias for action - moves fast, makes sound decisions, owns outcomes end-to-end
• Comfortable navigating ambiguity and evolving priorities in a startup environment
• Strong problem-solving skills ability to break down complex technical challenges and arrive at pragmatic, well-reasoned solutions
• Hands-on experience with platform engineering developer tooling, shared services, infrastructure abstractions, or internal platforms

Role: Senior Technical Consultant

Schedule: Fully Remote but requiring working in EDT Zone (Second shift work till 12:30 AM IST)

Benefits: Cell-Phone Reimbursement, Food Allowance, Internet Allowance, Commute Allowance

Company:

Upland Software (Nasdaq listed) is a leader in AI-powered knowledge and content management software. Our solutions help enterprises unlock critical knowledge, automate content workflows, and drive measurable ROI—enhancing customer and employee experiences while supporting regulatory compliance. More than 1,100 enterprise customers rely on Upland to solve complex challenges and provide a trusted path for AI adoption.

Job Description

Opportunity Summary:

We are seeking an experienced Senior Technical Consultant to join our India-based Center of Excellence team. This role demands both technical depth and customer presence—someone who thrives under pressure, communicates clearly, and solves complex integration and troubleshooting challenges in real time, often while collaborating directly with customers on live calls.

What would you do?

· Customer Engagement & Solutioning

o Lead and participate in technical meetings with enterprise customers, including troubleshooting sessions and go-live support calls.

o Translate complex technical details into language understandable by both technical and non-technical stakeholders.

o Calmly manage tense situations and help de-escalate when technical issues or deadlines create pressure.

· Technical Implementation & Integration

o Configure, integrate, and optimize BA Insight connectors with systems such as SharePoint, FileNet, iManage, and other enterprise repositories.

o Utilize REST APIs and scripting (C#, PowerShell, or similar) to implement or extend integration logic.

o Troubleshoot complex issues across multi-tier environments including application servers, connectors, indexing services, and authentication systems.

o Support orchestration pipelines that prepare data (chunking, metadata tagging, indexing) for LLM/AI consumption.

· Cross-Functional Collaboration

o Work closely with Project Managers, Solutions Consultants, and Support to ensure project milestones are met.

o Partner with Product and R&D to identify defects, suggest enhancements, and test new connector functionality.

o Support Sales and Customer Success teams in technical scoping discussions and feasibility assessments.

· Documentation & Process Discipline

o Maintain detailed technical documentation and logs of customer work.

o Track time and deliverables accurately using internal project management and time-tracking tools.

o Follow established PS methodology and internal QA/SDLC standards.

What are we looking for?

· Minimum 4–6 years of experience in a technical consulting, support engineering, or implementation role within a SaaS or enterprise software company.

· Experience with enterprise content management or search-based applications (e.g., SharePoint, iManage, OpenText, Documentum, Elastic, Solr) strongly preferred.

· Prior exposure to AI or data orchestration workflows a plus (chunking, vectorization, or integration with LLMs).

Primary Skills:

The candidate must possess the following primary skills:

Core Engineering & Development

· Strong proficiency in scripting and automation (Python, PowerShell, etc.)

· Solid experience with APIs, integrations, and data pipelines

· Ability to design and implement scalable, reusable solutions

Enterprise Search (Hands-On)

· Practical experience with:

· Indexing pipelines and ingestion workflows

· Metadata modeling and enrichment strategies

· Relevance tuning and search optimization

· Ability to diagnose issues related to:

o Missing content

o Poor ranking

o Incorrect search results

AI & Copilot Troubleshooting (Critical Skill)

· Hands-on experience or strong capability to troubleshoot:

· Microsoft Copilot / AI search issues

· Data grounding problems (AI not finding the right content)

· Permissions and access-related issues

· Microsoft Graph / Search indexing gaps

· Strong understanding of:

o Retrieval-Augmented Generation (RAG) concepts (high level)

o How AI depends on data quality, structure, and access

Enterprise Platform Experience

· Hands-on experience with one or more:

· Microsoft ecosystem (SharePoint, OneDrive, Graph, Copilot)

· Salesforce, ServiceNow, or similar enterprise systems

· Understanding of authentication (SSO, OAuth) and access models

Advanced Troubleshooting & Problem Solving

· Ability to diagnose cross-system issues (AI + search + data source)

· Strong root cause analysis skills across:

o Data

o Integration

o Platform configuration

Delivery & Ownership

· Ability to work independently on deployments and complex issues

· Experience in customer-facing or delivery environments

· Capability to guide/mentor junior engineers

Soft Skills

· Fast learner capable of mastering complex products and customer environments quickly

· Self-starter who can manage multiple projects with minimal supervision

· Team-oriented mindset with strong empathy for customers and colleagues

· Passionate about connecting enterprise data with AI to drive intelligent outcomes

· Exceptional troubleshooting and analytical abilities

· Passionate about delivering an amazing customer experience

· Able to have a change of mind, and able to change the minds of others

· Writes clearly and concisely

· Capable of working without a company office, with a fully remote team

Growth Skills

· Possesses a good work ethic; a self-starter with a desire to grow

· Always looking for better ways to get the job done

Work Schedule

· As Mentioned above.

· Flexibility to alternate schedules with other CoE Project Managers to ensure consistent U.S. coverage.

Qualification

Bachelor’s degree or technical institute degree/certificate in Computer Science, Information Systems, or other related field or equivalent combination of knowledge and experience. This role requires overlap with multiple time zones for planning meetings, status updates etc. on a regular basis. The duration of these overlaps can change depending on the type of meeting. Upland India has the flexibility to manage your working hours accordingly to help in your work-life balance. You can find out more about this during your interview conversation.

About BA Insight

Upland BA Insight is an enterprise search and AI orchestration platform that connects knowledge across systems like SharePoint, FileNet, iManage, Jira, and Documentum. Our technology enables intelligent search and data orchestration pipelines that prepare content for use with AI models such as ChatGPT, Microsoft Copilot, and Azure OpenAI.

Location: Bengaluru, Kadugodi

Experience: 4-6 years

About company:

Client is a Germany-headquarted IT consulting and service organization. With over 25 years of expertise and global presence, we are committed to customer excellence and focused in addressing niche areas of product engineering, process consulting and software development in automotive, railways, production automation, data management and business IT domains.

Key Responsibilities:

• Develop or enhance features to meet industry standards, safety regulations, and project specifications.
• Collaborate with Business stakeholders to understand Business Requirements
• Work closely with hardware engineers, QA, and Scrum Master to integrate software solutions into embedded systems.
• Identify Problems and resolve technical issues within embedded systems, making critical decisions on system architecture and software design.
• Strive towards Improving Processes, system performance, optimize code and innovate in software design.
• Work closely with vendors to design and implement edge AI solutions

Requirements:

• Must have done B.Tech/B.E preferably in ECE stream
• Must have Proficiency in Python/C/C++, Go Lang, Scripting in Bash
• Must have Strong Fundamentals on Embedded Development Life cycle
• Must have Strong knowledge on Embedded Linux, Unix/Linux commands, RTOS and SQL
• Sound knowledge of CAN/J1939 protocol, Sensor Data Processing and Telemetry
• Experience with tools like JIRA and Agile/Scrum methodology
• Excellent communication skills and ability to collaborate with cross-functional teams.
• Ability to work on multiple projects and prioritize work effectively
• Ability to work independently and as a team member
• Strong analytical and problem-solving skills

Nice to Have:

• Understanding of ADAS, Driver Monitoring Systems
• Experience with embedded video coupled with edge AI