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From exquisite residences to adaptive workplaces, skillfully
EXPERIENCE RANGE:
• 4-7 Years of experience in IBM FileNet and IBM Content Navigator (ICN)
KEY RESPONSIBILITIES:
1. Worked on IBM FileNet and IBM Content Navigator (ICN)
2. Working experience on P8 Application engine, Process engine & Content engine, P8 Workplace, FileNet
Enterprise Manager, Process Designer, Process Administrator, Process Analyzer, Process Configuration
Console.
3. Working experience in Process Mapping, Workflow modeling
4. Working experience in the development of custom FileNet Step Processors and custom Applications using
FileNet P8 Framework and with JAVA API
5. Scoping, analysis, designing, development, testing, implementation, and maintenance of IBM FileNet
6. Working experience on general FileNet P8 Admin activities
7. Working knowledge of Microsoft SQL Server
8. Working knowledge of IBM Datacap
9. Knowledge of IBM Business Automation Workflow (would be an added advantage)
10. Strong written and oral communication skills, self-motivation, and creativity.
11. Capable of handling customer support and user training.
REPORTING TO: General Manager – IT
OFFICE LOCATION: Navi Mumbai
Procedure is hiring for WorkHero.
WorkHero is building the AI-powered back office for the skilled trades, starting with the $50B+ HVAC industry. Small contractors are great at their trade but lose 20+ hours a week to invoicing, permits, scheduling, and paperwork. WorkHero combines expert office managers with automation and AI tooling, enabling a small team to take real ownership of that back-office work
We’re hiring a senior engineer to own our real-time voice stack end to end—AI agents operating on live phone calls—and the data platform that turns those calls into insight: call → transcript → events → warehouse → dashboards. You’ll own meaningful systems end to end alongside a small, senior team with deep experience in AI, product, and the trades.
What you’ll build
- New product screens and flows (jobs, customers, invoices, scheduling) in React and React Native, especially AI chat UI (chat & tool result rendering, streaming responses, human review and feedback loops)
- AI workflows in production: tool-using agents, RAG/search, classification/extraction, and human-in-the-loop flows
- Automations: Contribute new features and improvements to our AI-powered business automation platform
In addition, you’ll own our first investments into a realtime voice stack and the call-data platform behind it. For example:
- Realtime voice agents on live phone calls: telephony/WebRTC integration, streaming speech-to-text and text-to-speech, turn-taking, interruption handling, and latency optimization
- Voice pipeline reliability: backpressure, failover, graceful degradation, and monitoring for live calls
- Call-data pipeline: transcripts, events, and structured extraction flowing from every call into the warehouse
- Analytics & dashboards: data modeling and conversation-intelligence features on top of call data
- Evals & monitoring for voice agents: quality metrics, drift detection, and cost/latency tracking
- Cloud infrastructure: scaling our platform with infrastructure as code, queues and orchestration, and CI/CD
Responsibilities
- Analyze requirements and propose innovative AI-native solutions to technical problems
- Write clean scalable code
- Own the voice and data stack end-to-end: design, build, test, deploy, and operate
- Optimize the performance, latency, and cost of our real-time AI systems
- Respond to critical system issues and ensure continuous system reliability
- Mentor team members and collaborate across teams, especially with product and subject matter experts
- Work to understand the needs of our users and think creatively about how to solve design challenges in your work
- This is a Remote role. We expect a minimum 4 hours overlap with the WorkHero team (11 AM - 3 PM ET).
Qualifications
- Senior-level backend experience (typically 5+ years) shipping production systems that you've owned
- Hands-on experience with realtime voice or streaming systems: telephony (SIP/Twilio), WebRTC, streaming STT/TTS, or frameworks like LiveKit or Pipecat — or comparable experience with demanding realtime/streaming infrastructure
- Data engineering fundamentals: event pipelines, data modeling, warehousing, and analytics on production data
- Strong proficiency in a typed backend language (TypeScript preferred; comparable experience welcome)
- Hands-on experience with LLM-powered features (usage, prompting, optimization, etc) and AI architectures
- The ability to work with infrastructure as code (terraform), cloud, and CI/CD systems at scale. We're a small team, so we own the whole stack!
- Excitement to leverage AI coding tools to their maximum benefit. We love Claude Code and Cursor and are constantly looking for better ways to leverage our time to build fast and build for scale.
Nice to have
- experience with voice-AI platforms (Vapi, Retell, Bland, Deepgram, LiveKit) or conversation-intelligence products (e.g. Gong-style analytics)
- experience scaling cloud infrastructure, especially AWS, and how to get the most out of key AWS services
- experience with workflow automation tools like n8n or Lindy
- experience with React for building internal dashboards
- experience with HVAC or back-office business workflows
WorkHero is committed to building a diverse team. We encourage candidates from all backgrounds to apply.
About the Role
We’re looking for a Senior Software Engineer who takes ownership seriously, someone who
designs solutions, ships them, and stands behind them in production. You’ll work across a
technically interesting stack on systems that process millions of provider records.
This is a role with real scope: you’ll influence architecture, shape engineering practices, and
work directly with product and leadership to solve hard problems in a domain that genuinely
matters.
Problems You’ll Solve
Healthcare’s provider data problem is a hard distributed systems problem. Hundreds of primary
sources state boards, payers, federal registries each with their own schema, SLA, and failure
mode. Downstream, real credentialing and network decisions depend on whatever truth we can
surface.
API contract stability at velocity. You’re building a platform hundreds of integrations depend
on. How do you evolve a Quarkus/REST API, adding resources, deprecating fields, shifting data
models without breaking consumers? Contract-first design, versioning strategy, and backward
compatibility aren’t theoretical here.Integration reliability at scale. Upstream sources go down, change schemas, and return dirty
data. You’ll build the patterns that absorb that chaos idempotent consumers, dead-letter queues,
circuit breakers, and reconciliation pipelines on top of Kafka and Spanner.
Entity resolution on messy real-world data. Deduplicating and reconciling provider records
across hundreds of heterogeneous sources, where a wrong merge has downstream
consequences. MDM patterns, confidence scoring, and deterministic vs. probabilistic matching
at scale.
AI-augmented velocity without regression. We use Cursor and Claude Code as force
multipliers. The engineering problem is building review culture, eval frameworks, and test
coverage that keeps quality high as output volume increases.
Observability for a data platform, not just a service. Uptime isn’t enough; you need to know
when a provider record is stale, inconsistent, or wrong. You’ll instrument data quality and
lineage, not just p99 latency.
What We’re Looking For
Engineering fundamentals
* 8+ years building and maintaining production-grade systems including systems where
your API is someone else’s dependency and breaking it has real downstream
consequences
* Track record of shipping high-quality software in fast-paced environments you define the
solution, not just implement a spec
* Strong engineering fundamentals: testing, clean code, maintainability, and performance
optimization
* Experience improving system reliability you’ve debugged hard production problems and
made them not happen again, with SLOs and alerting to prove it
* Comfort mentoring earlier-career engineers and influencing technical direction
API & architecture depth
* Deep experience designing and evolving APIs under active consumers: versioning
strategy, backward compatibility, and contract-first thinking
* Fluency across API paradigms REST, GraphQL, gRPC, and async/event-driven APIs
(webhooks, Kafka topics as contracts) and the judgment to know when each is the right
tool
* Hands-on experience with service-oriented and distributed architectures you’ve worked
across SOA, microservices, and event-driven patterns and can make principled tradeoffs
between them based on coupling, latency, and operational complexity
* Experience designing for API consumers as first-class stakeholders SDK ergonomics,
pagination, rate limiting, error semantics, and documentation as part of the contract, not
an afterthought
* Experience with integration patterns at scale you’ve built or maintained systems that
aggregate and normalize data from many heterogeneous upstream sources, and you
understand the reliability and consistency tradeoffs that come with it: circuit breakers, retry
strategies, idempotency, eventual consistency
Data-intensive systems• Strong data modeling instincts you understand the difference between a schema that’s
easy to write and one that’s easy to query, evolve, and trust at scale
* Experience with high-throughput, event-driven systems: you understand ordering
guarantees, consumer lag, and failure modes in Kafka-like architectures
* Strong sense of data quality: lineage, freshness, and correctness matter as much to you
as throughput
AI-era engineering
* In an AI-augmented engineering environment, you write less and review more you’re
skeptical of generated code in the right ways, and you use that leverage to ship 2–3x
what a non-AI-fluent engineer would
* Fluency with AI-assisted engineering tools (Cursor, Claude Code, MCP servers) this is
part of how we work, not a nice-to-have
Communication & compliance
* Strong written and verbal communication you can explain a technical tradeoff to an
engineer and a product manager in the same conversation
* Experience with sensitive data and security best practices (PII, access controls) in
regulated or compliance-adjacent environments
Nice to Have
* Experience building or operating AI/LLM pipelines in production (not just prototypes)
including eval frameworks, fallback behavior, and monitoring for non-deterministic outputs
* Experience with entity resolution or MDM systems at scale deduplicating messy
real-world data across disparate sources
* Familiarity with healthcare credentialing workflows
* Familiarity with healthcare, compliance, or regulated environments
Technologies & Tools
Java 21 / Quarkus · React / TypeScript · GCP (Spanner, BigQuery) · Kafka · Docker /
Kubernetes · GitHub Actions · Sentry · REST / GraphQL / gRPC · Cursor / Claude
Code / Codex
About The Role
Location: Remote / Hybrid (India Preferred)
Experience: 03–10 years of relevant experience
Reports to: CEO/Co-founder
Type: Full-Time
Tech Stack: Python, Frappe, LangChain, Neo4j, FAISS, React.js, AWS/GCP/Azure
What You’ll Do
● AI/ML Development
○ Build AI-powered student learning insights using Graph Databases (Neo4j), FAISS,
Sentence Transformers, and OpenCV (ResNet-50).
○ Develop Retrieval-Augmented Generation (RAG) and reinforcement learning models to
personalize content and assessment.
○ Research and implement multi-modal generation (text, image, voice) for highly
personalized learning interactions.
○ Fine-tune and optimize transformer-based models (e.g., GPT, BERT) to deliver contextual,
culturally relevant learning experiences.
● Backend & API Development
○ Architect and build scalable backend using Frappe, FastAPI, or Django.
○ Develop REST and GraphQL APIs to connect PAL with TAP’s LMS, Glific, and content
repositories.
○ Integrate Redis and Celery to manage background inference processes.
○ Connect with Glific APIs to power our AI-driven WhatsApp learning chatbot.
● Frontend & User Experience (Optional)
○ Develop a React.js-based student dashboard for real-time learning insights and content
delivery.
○ Collaborate closely with our UX team to ensure intuitive and accessible design.
● Cloud & Deployment (DevOps)
○ Deploy and scale models across cloud platforms: AWS, GCP, or Azure.
○ Implement CI/CD pipelines (Jenkins, Cypress.io) to ensure continuous delivery and testing.
○ Use Docker and Kubernetes for managing containerized deployments.
● AI-Driven Security & Automation
○ Ensure data privacy and compliance by embedding AI-powered security checks.
○ Automate personalized content delivery through NLP chatbots and AI workflows.
Who You Are
● You’ve worked on AI/ML systems at scale, especially in EdTech, SaaS, or social impact settings
● You’ve built or fine-tuned models with GPT/BERT, FAISS, LangChain, or custom embeddings
● You know how to move between backend complexity and real-world deployment
● You’ve used tools like Zapier, N8N, or FastAPI in production
● You don’t just write code — you write roadmaps, define structure, and love cross-functional
collaboration
● Bonus: You’ve dabbled in adaptive learning, NLP in regional languages, or multimodal AI
What You Can Expect?
● Real ownership – You’ll lead architecture, experimentation, and rollout
● Deep learning – Work with experienced leaders across product, pedagogy, and AI
● Remote flexibility – Work from anywhere, build for everywhere
● Bold pace, clear values – We move fast, think big, and always center the child
● Future leadership track – Opportunity to grow into a Tech/AI Lead role as we scale
● Full transparency – Competitive salary, equity potential, and clarity on what’s next
- Experience in developing enterprise wide web-based n-Tier applications using Microsoft and JavaScript technology stack.
- Fluent knowledge and hands-on experience in C# ASP.Net WebAPI with .Net Core/ .Net 5+, Angular (4/5+) with TypeScript, Angular Material, CSS, HTML 5, Bootstrap.
- Knowledge of nHibernate, IoC Containers, any SQL DB and any NoSQL DB would be an added advantage.
- Having experience in container technology (Kubernetes/Dockers) and microservices implementation would be an added advantage.
- Hands on experience in unit testing using tools like xUnit and mocking framework etc. CI/CD process are an added advantage
- Good knowledge and experience of OOAD, SOA and RESTful based patterns and implementation.
- Good understanding of Design patterns and their implementation
- Should be able to work independently with new technologies
You should have
- Degree in Computer Science or relevant field
- Strong knowledge and understanding of JavaScript and TypeScript
- Knowledge of multiple frontend languages and frameworks including HTML, CSS, SCSS, JavaScript and React.
- Knowledge of backend languages and frameworks primarily Node.js
- Familiarity with SQL databases (e.g. PostgreSQL)
- Knowledge of Docker, and Kubernetes would be a plus.
- Leadership skills for guiding and mentoring teammates.
- Understanding of CI/CD Concepts
- Awareness of key concepts in DevOps and Agile principles
Perks
- Flexible working hours - employee tracking is never a thing
- A fun and close-knit agile team.
- Open office layout that promotes collaboration, conversation, and camaraderie – the result-oriented team.
- Recreational activities to keep you away from the screen and live, laugh, and enjoy with the team.
- Produce detailed specifications
- Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality
- Contribute in all phases of the development lifecycle
- Follow industry best practices
- Develop and deploy new features to facilitate related procedures and tools if necessary
Requirements :
- Expert in Python with at least one Python web framework (such as Flask, Django etc)
- Hands-on experience on building and leveraging third party Restful APIs
- Strong knowledge in algorithms and data structures
- Experience in any one of the python libraries such as Pandas, Scikit, Numpy, BeautifulSoup, and Scrapy
- Hands-on experience in Linux platform is a must
- Understanding of design principles behind a scalable application
- Knowledge in relational and NoSQL databases
- Exposure to Big Data and Real-time analytics is a plus
- Knowledge of Machine learning or Natural language processing in Python is a plus
- Experience using a public cloud such as Amazon AWS
1. Participate in requirements analysis
2. Collaborate with internal teams to produce software design and architecture
3. Ability to work in a team environment, independently, take direction, and follow instructions.
4. Understanding the coding structure, application blocks and adapting to standards followed
5. Test and deploy applications and systems
6. Revise, update, refactor and debug code
7. Improve existing software
8. Serve as an expert on applications and provide technical support
Mandatory qualification:
1. 6+ years of experience in developing C#/.NET web applications and tools.
2. Should have Hands-on experience else strong programming knowledge in all .Net frameworks, .Net 5/ .Net 3 Core, latest MVC, and Web API frameworks.
3. Strong programming knowledge in C#, SQL
4. Experience in developing in a test-driven development environment (plus).
5. Exposure and experience in Entity Framework Core, API Gateway, LINQ to SQL/LINQ to Entities, and XML.
6. Capability with JIRA and GIT.
7. Write clear codes and prepare coding documentation
8. Ability to work on CICD - Dev ops model.
9. Proficiency working within an Agile team and Agile process.
10. B.E / B.Tech / M.E / M.Tech / MCA
Optional Qualification:
1. Azure knowledge
2. Dockers and Kubernetes
Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data pipelines at Petabyte scale. Our customers include a Fortune 500 company, one of Asia's largest telecom companies, and a unicorn fintech startup. We are lean, hungry, customer-obsessed, and growing fast. Our Engineering team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.
As a Principal Full-stack engineer, you will work across the Acceldata platform products. We’re looking for people with a strong background or inclination towards data engineering and systems; you’re comfortable in dealing with lots of moving pieces and can work at the intersection of Databases, API's and Frontends
You will:
- Be actively involved in strategic direction and product decisions.
- Design, build and maintain APIs, user-facing experiences, and services.
- Work closely with our customers and sales teams on a regular basis to carve out new features and use cases
- Work with MVC frameworks such as React or Angular
- Work with database systems, RDBMS, Mongo, Elastic Search.
- Develop shared front-end components (JavaScript & CSS) for use across all of our products, enabling other UI engineers to build better products faster.
You need:
- 12+ years of significant of web-application development experience in one or more JS frameworks. You care about building better products.
- Strong Computer Science fundamentals in data structures, algorithm design, and problem-solving.
- You're as comfortable writing plain JavaScript as working with modern frameworks like Angular. You've built your own controls and widgets in JavaScript.
- You write unit tests for your JavaScript (really, you do). You've probably used Node. You have built complex JS web applications.
- Organized, thorough, and detail-oriented
Good to have:
- Contribution to open-source projects.
- Background in enterprise software
- JVM performance tuning and debugging





