Techjays
https://techjays.comAbout
Techjays is The AI Reimagination Company — an enterprise AI partner founded by leaders with experience at Google. We don’t just experiment with AI; we build, deploy, and scale production-grade systems that solve real business problems.
Our focus is on industries where impact matters most — manufacturing, logistics, and complex enterprise operations. From intelligent automation to LLM-powered workflows, we design solutions that deliver measurable business outcomes in under 90 days.
With 20+ live AI systems already in production and over $100M in cost savings delivered, our work goes beyond proof of concept — it drives tangible value.
Headquartered in Menlo Park, Techjays operates across seven countries including the USA, India, UAE, UK, Canada, Australia, and Bangladesh — helping global enterprises rethink how they build, operate, and scale with AI at the core.
Tech stack
Amazon Web Services (AWS)
DockerCandid answers by the company
Coimbatore (remote) and Remote options available.
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
.NETSenior AI Engineer — .NET / C# 📍 Coimbatore / Chennai · Hybrid | 6+ Years | Immediate – 15 Days Notice
About Techjays
We build production-grade AI systems for enterprise clients across the US, UK, and Australia. As an Anthropic partner, we work at the frontier of AI — not experiments, but real systems that ship and scale. Our team includes engineers from Google, Akamai, NetApp, and Capgemini.
What You'll Do
- Build and ship .NET applications for enterprise clients — from design to deployment
- Integrate LLM APIs (Claude, OpenAI, Azure OpenAI) into production .NET services
- Use Claude Code daily for coding, debugging, and code reviews
- Build React UIs from wireframes to production
- Own SQL Server architecture, optimisation, and EF migrations
- Lead code reviews and mentor the team
- Work with PMs and Delivery Managers to hit sprint goals
What We're Looking For
- 6+ years in .NET — C#, ASP.NET Core, Entity Framework
- Hands-on with Claude Code or similar AI coding tools
- Strong Azure — App Services, Functions, Service Bus, Cosmos DB, DevOps
- Solid React — hooks, state management, component architecture
- Expert SQL Server skills
- Experience with RESTful and GraphQL APIs at scale
- Good grasp of Clean Architecture, DDD, CQRS, microservices
Bonus: Python, Docker, vector databases, Semantic Kernel, SignalR, GCP/AWS
Why Join
- Greenfield projects — you design the architecture
- Anthropic partner — early access to frontier AI tools
- Global client exposure with real business impact
- Team of engineers who've built at scale
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Amazon Web Services (AWS)Expected Date of Joining Immediate/ 30 days
What makes Techjays an inspiring place to work
At Techjays, we are helping companies reimagine how they build, operate, and scale with AI at the core.
We operate as part of the 1% of companies globally that can truly leverage AI the right way and not just as experimentation, but as secure, scalable, production-grade systems that drive measurable business outcomes.
Our strength lies in combining deep backend engineering with AI system design, building AInative platforms, intelligent workflows, and cloud architectures that are reliable, observable, and enterprise-ready. Our team includes engineers and leaders who have built and scaled products at global technology organizations such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. Today, we function as a high-agency, execution-focused team building advanced AI systems for global clients.
About the role
We are looking for a strong backend engineer who can design and build secure, scalable Python systems that power AI-native applications.
You will work on AI-enabled platforms, production systems, and scalable backend services that support LLM integrations, RAG pipelines, and intelligent workflows.
Years of Experience: 3 - 7 years
Location: Coimbatore
Key Skills
Backend Development (Familiar):
- Python
- Django / Flask
- RESTful APIs
- Websockets
Cloud Technologies (Familiar):
- AWS (EC2, S3, Lambda)
- GCP (Compute Engine, Cloud Storage, Cloud Functions)
- CI/CD pipelines with Jenkins / GitLab CI or Github Actions
Databases (Familiar):
- PostgreSQL
- MySQL
- MongoDB
AI/ML (Familiar):
- Basic understanding of Machine Learning concepts
- Assist in building and integrating Agentic AI workflows
- Familiar with RAG
- Vector Databases (Pinecone or ChromaDB or others)
Tools:
- Git
- Docker
- Linux
Roles and Responsibilities
- Develop and maintain backend services using Python and Django/Flask under guidance.
- Assist in building scalable and secure APIs and backend systems for AI-driven applications.
- Write clean, efficient, and maintainable code following best practices.
- Collaborate with cross-functional teams including frontend developers, data scientists, and product teams.
- Participate in code reviews, debugging, and performance optimization.
- Support integration of AI/ML components such as LLMs and RAG pipelines.
- Continuously learn and improve technical skills in backend and AI technologies.
What We’re Looking for Beyond Skills
- Builder mindset — you think in systems, not just tickets
- Ownership — you take features from idea to production
- Structured thinking in ambiguous environments
- Clear communication and collaborative approach
- Ability to work in a fast-paced, evolving startup environment
What We Offer
- Competitive compensation
- Paid holidays & flexible time off
- Medical insurance (Self & Family up to ₹4 Lakhs per person)
- Opportunity to work on production-grade AI systems
- Exposure to global clients and high-impact projects
- A culture that values clarity, integrity, and continuous growth
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
PythonAbout Techjays
At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.
About the Role
This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.
What You'll Do
- Architect and scale backend systems powering AI-driven applications
- Design and implement RAG pipelines, AI agents, and LLM integrations
- Own systems end-to-end — from architecture to deployment and scaling
- Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
- Build high-performance distributed systems with observability and cost efficiency
- Lead backend and AI initiatives with strong technical ownership
- Mentor engineers and raise the technical bar across teams
- Collaborate with product and AI teams to deliver AI-native solutions
What We're Looking For
- 6–10 years of strong backend engineering experience
- Hands-on expertise in Python (FastAPI / Django / Flask)
- Deep understanding of Generative AI and LLM-based systems
- Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
- Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
- Proficiency in AWS or GCP in production environments
- Experience with distributed systems, microservices, and system design
- Strong grasp of Data Structures, Algorithms, and Design Patterns
- Familiarity with WebSockets, Git, Linux/Unix, and CI/CD
Nice to Have
- Experience with Anthropic Claude API and Claude Code
- Familiarity with real-time data systems or streaming (Kafka, etc.)
- MLOps and AI system lifecycle experience
- Optimizing AI systems for latency, cost, and scalability
Who You Are
- You think in systems, not just features
- You take full ownership of what you build
- You are comfortable navigating fast-moving, ambiguous environments
- You stay updated with the latest in Generative AI and backend technologies
- Strong communicator who can collaborate across teams and global clients
What We Offer
- Competitive compensation (Best in Industry)
- Work on production-grade AI systems used by global clients
- Exposure to cutting-edge AI tools and frameworks
- A culture that values clarity, integrity, and continuous growth
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Ruby on Rails (ROR)
React.js
PostgreSQLSenior AI Engineer — Ruby on Rails
Techjays · Coimbatore / Chennai · Hybrid · Immediate – 30 Days Notice
About Techjays
We're the AI Reimagination Company — and that's not a tagline we put on a deck. It's what we actually do.
Techjays helps global enterprises rebuild the way they operate using AI at the core: not as a pilot, not as a feature, but as a foundational layer across products, workflows, and infrastructure. We're an Anthropic partner, which means our engineers get early access to frontier models and tools before they hit the market.
Our team includes engineers and leaders from Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. We run like a high-agency startup, but we build production systems that real enterprise clients depend on.
Every project is greenfield. Every line of code you write ships.
What This Role Actually Is
This isn't a "keep the monolith alive" job.
You'll be designing and building new AI-powered features, integrating LLM APIs into production Rails applications, and using Claude Code as a core part of your daily workflow — not as an experiment. You'll work directly with US-based enterprise clients alongside Product Managers, AI Business Consultants, and Delivery Excellence Managers.
Your architecture decisions will have visible business impact.
What You'll Own
- Design, build, and maintain production-grade Ruby on Rails applications for US enterprise clients — from architecture to deployment
- Integrate LLM APIs (Claude, GPT-4, Gemini) into the Rails stack, building AI-powered features that drive real business outcomes
- Use Claude Code daily as your AI development partner — for generation, debugging, documentation, and velocity
- Build responsive, performant React front-ends from wireframes and design specs
- Own RESTful and GraphQL API design for client applications and third-party integrations
- Drive database design and optimisation — schema, queries, indexing, and migrations on PostgreSQL/MySQL
- Lead code reviews and raise the technical bar through constructive feedback
- Document architecture decisions, API contracts, and implementation patterns
Must-Haves
- 6+ years of deep, production-grade Ruby on Rails experience — advanced framework patterns, background jobs (Sidekiq/Redis), design patterns, best practices
- Hands-on experience with Claude Code (Anthropic) for AI-assisted development — this is central to how we build
- Strong React skills — hooks, component architecture, state management, wireframe to production
- Expert-level PostgreSQL/MySQL — schema design, query optimisation, indexing, performance tuning
- Proven experience designing RESTful and GraphQL APIs at scale
- Experience integrating third-party LLM APIs (OpenAI, Anthropic, Google Gemini) into production Rails apps
- Strong software architecture fundamentals — MVC, service objects, design patterns, testability
- Deep comfort with Git, Gitflow, and PR-based collaboration workflows
Good to Have
- Python for scripting, automation, or backend service integration alongside Rails
- AWS familiarity — EC2, S3, RDS, Lambda — for deployment and infrastructure
- MongoDB or NoSQL in polyglot persistence architectures
- Vector databases (Pinecone, pgvector, Weaviate) for LLM application development
- LangChain, LangGraph, or similar orchestration frameworks for AI agents
- SaaS multi-tenancy patterns and high-traffic web application experience
- Open source contributions or a strong public GitHub profile
Why Join Techjays
- Claude Code is standard practice here, not a side experiment — you'll use it every day to ship faster and smarter
- Anthropic partner access — early visibility into frontier AI tools and capabilities before the market sees them
- Greenfield only — you'll design architecture, not inherit technical debt
- Global client exposure — your engineering decisions translate directly to measurable business outcomes for US enterprise clients
- Team pedigree — you'll learn alongside engineers who've shipped at real scale at Google, Akamai, and NetApp
- AI is the product here, not a feature. You'll spend your career at the intersection of software engineering and AI systems
What We're Looking For Beyond the Resume
- Builder mindset — you think in systems, not tickets
- Ownership — you take features from idea to production
- Structured thinking in ambiguous, fast-moving environments
- Clear communicator, collaborative team player
What We Offer
- Competitive compensation
- Hybrid work — Coimbatore office or remote flexibility
- Paid holidays and flexible time off
- Medical insurance for self and family (up to ₹4 Lakhs per person)
- Opportunity to work on production-grade AI systems for global clients
- A culture built on clarity, integrity, and continuous growth
Location: Coimbatore / Chennai — Hybrid Notice Period: Immediate to 30 days preferred
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
PythonAmazon Web Services (AWS)About the Role
At Techjays, we build production-grade AI systems for global clients. We are looking for a Solution Architect who can bridge the gap between client needs and technical delivery — someone who can walk into a client room, understand their business challenges, and walk out with a compelling, technically sound AI solution.
This role sits at the intersection of pre-sales, solutioning, and delivery governance.
What You'll Do
- Own end-to-end solutioning from client discovery to architecture design
- Partner with pre-sales teams on RFPs, proposals, and client presentations
- Define architectures for LLM integrations, RAG pipelines, and agentic workflows
- Conduct architecture reviews and technical assessments for ongoing projects
- Act as a trusted technical advisor to enterprise clients during pre-sales
Key Skills
- Python, REST APIs, Microservices, Distributed Systems
- AWS / Azure / GCP, Docker, Kubernetes, CI/CD
- LLM Integrations, RAG Pipelines, AI Agents, Vector Databases
- Enterprise data architecture and integration patterns
- Strong client communication and presentation skills
Who You Are
- Client-first mindset — listens, understands, and translates business pain into technical clarity
- Strong communicator comfortable with C-level stakeholders
- High ownership — accountable for every solution you sign off on
- Collaborative across sales, delivery, and engineering
What We Offer
- Flexible work environment
- Paid holidays & flexible time off
- Medical insurance (Self & Family up to ₹4 Lakhs)
- Exposure to global clients and high-impact pre-sales engagements
- A culture of clarity, integrity, and continuous growth
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Machine Learning (ML)We are looking for an experienced Business Analyst with 10+ years of experience to lead AI product initiatives and guide the BA team. The role involves understanding business needs, gathering requirements, creating documents like BRDs, FRDs, and user stories, and coordinating with teams such as engineering, AI/ML, QA, design, and product.
The candidate should have knowledge of AI/ML concepts, strong stakeholder management skills, and experience building products from scratch. They will also mentor junior BAs, conduct UAT testing, support Agile/Scrum processes, and help deliver AI-driven solutions successfully.
Key responsibilities include:
- Requirement gathering and solution analysis
- Stakeholder communication and workshops
- Documentation and project coordination
- UAT and QA support
- Team leadership and mentoring
- Working on AI-powered products and automation solutions
- Ensuring ethical and compliant AI practices
Preferred experience includes exposure to Generative AI, LLMs, AI agents, SaaS products, and tools like Jira, Confluence, Figma, and Miro.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
PythonAbout Techjays
At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.
About the Role
This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.
What You'll Do
- Architect and scale backend systems powering AI-driven applications
- Design and implement RAG pipelines, AI agents, and LLM integrations
- Own systems end-to-end — from architecture to deployment and scaling
- Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
- Build high-performance distributed systems with observability and cost efficiency
- Lead backend and AI initiatives with strong technical ownership
- Mentor engineers and raise the technical bar across teams
- Collaborate with product and AI teams to deliver AI-native solutions
What We're Looking For
- 6–10 years of strong backend engineering experience
- Hands-on expertise in Python (FastAPI / Django / Flask)
- Deep understanding of Generative AI and LLM-based systems
- Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
- Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
- Proficiency in AWS or GCP in production environments
- Experience with distributed systems, microservices, and system design
- Strong grasp of Data Structures, Algorithms, and Design Patterns
- Familiarity with WebSockets, Git, Linux/Unix, and CI/CD
Nice to Have
- Experience with Anthropic Claude API and Claude Code
- Familiarity with real-time data systems or streaming (Kafka, etc.)
- MLOps and AI system lifecycle experience
- Optimizing AI systems for latency, cost, and scalability
Who You Are
- You think in systems, not just features
- You take full ownership of what you build
- You are comfortable navigating fast-moving, ambiguous environments
- You stay updated with the latest in Generative AI and backend technologies
- Strong communicator who can collaborate across teams and global clients
What We Offer
- Competitive compensation (Best in Industry)
- Work on production-grade AI systems used by global clients
- Exposure to cutting-edge AI tools and frameworks
- A culture that values clarity, integrity, and continuous growth
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
PythonAbout Techjays
At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.
About the Role
This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.
What You'll Do
- Architect and scale backend systems powering AI-driven applications
- Design and implement RAG pipelines, AI agents, and LLM integrations
- Own systems end-to-end — from architecture to deployment and scaling
- Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
- Build high-performance distributed systems with observability and cost efficiency
- Lead backend and AI initiatives with strong technical ownership
- Mentor engineers and raise the technical bar across teams
- Collaborate with product and AI teams to deliver AI-native solutions
What We're Looking For
- 6–10 years of strong backend engineering experience
- Hands-on expertise in Python (FastAPI / Django / Flask)
- Deep understanding of Generative AI and LLM-based systems
- Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
- Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
- Proficiency in AWS or GCP in production environments
- Experience with distributed systems, microservices, and system design
- Strong grasp of Data Structures, Algorithms, and Design Patterns
- Familiarity with WebSockets, Git, Linux/Unix, and CI/CD
Nice to Have
- Experience with Anthropic Claude API and Claude Code
- Familiarity with real-time data systems or streaming (Kafka, etc.)
- MLOps and AI system lifecycle experience
- Optimizing AI systems for latency, cost, and scalability
Who You Are
- You think in systems, not just features
- You take full ownership of what you build
- You are comfortable navigating fast-moving, ambiguous environments
- You stay updated with the latest in Generative AI and backend technologies
- Strong communicator who can collaborate across teams and global clients
What We Offer
- Competitive compensation (Best in Industry)
- Work on production-grade AI systems used by global clients
- Exposure to cutting-edge AI tools and frameworks
- A culture that values clarity, integrity, and continuous growth
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
PythonAI Lead (Backend Systems & Architecture)
This is not a feature-delivery role. This is an architecture, ownership, and AI systems leadership role.
At Techjays, we build production-grade AI platforms for global clients. We are looking for an AI Lead with strong backend engineering expertise—someone who can design, scale, and take complete ownership of intelligent systems end-to-end.
You will operate at the intersection of backend engineering, distributed systems, and applied AI, driving both technical direction and execution.
What You’ll Do
- Architect and scale backend systems powering AI-driven applications
- Design and implement AI workflows such as RAG pipelines, agents, and LLM integrations
- Own systems end-to-end: architecture, development, deployment, and scaling
- Build reliable, high-performance distributed systems
- Integrate and optimize LLMs (Claude, GPT, etc.) for real-world use cases
- Lead backend and AI initiatives with strong technical ownership
- Ensure performance, scalability, observability, and cost efficiency
- Mentor engineers and raise the technical bar across teams
- Collaborate with product and AI teams to build AI-native solutions
What We’re Looking For
- Proven experience in architecting and scaling backend systems end-to-end
- Strong expertise in Python (Django / Flask / FastAPI)
- Deep understanding of distributed systems and system design
- Hands-on experience with AWS or GCP in production environments
- Solid experience working with LLMs (Claude, GPT, etc.)
- Strong knowledge of:
- Retrieval-Augmented Generation (RAG)
- Vector databases (Pinecone, FAISS, Weaviate, etc.)
- Experience in building and managing microservices architectures
- Ability to lead teams, mentor engineers, and drive technical excellence
- Strong problem-solving skills with an ownership mindset
Nice to Have
- Experience building AI agents or autonomous systems
- Familiarity with real-time data systems or streaming (Kafka, etc.)
- Understanding of MLOps and AI system lifecycle
- Experience optimizing AI systems for latency, cost, and scalability
Who You Are
- You think in systems, not just features
- You take full ownership of what you build
- You are comfortable in fast-moving, ambiguous environments
- You stay updated with the latest advancements in AI and backend technologies
This role is ideal for someone who wants to lead, build, and scale AI-powered backend systems in production while driving real-world impact.
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A champion of Value SaaS, with its customer and security-first approach Appknox has won many awards and recognitions from G2, and Gartner and is one of the top mobile app security vendors in its 2021 Application security Hype Cycle report.
Our forward-leaning, pioneering spirit is backed by SeedPlus, JFDI Asia, Microsoft Ventures, and Cisco Launchpad and a legacy of expertise that began at the dawn of 2014.
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