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About 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

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 - 5 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

What We’re Looking For

•  Looking for a Python Lead with 5 to 8 years of experience who can design, architect, and build secure, scalable, production-grade backend systems.
• Expert-level proficiency in Python with strong hands-on experience in Django or Flask.
• Experience with RESTful API design and Websockets.
• Must have a solid foundation in design patterns, algorithms, and data structures.
• Advanced database skills across PostgreSQL, MySQL, and MongoDB.
• Well-versed in caching systems like Redis.
• Experience with queuing systems like RabbitMQ or Kafka.
• Experience with container-based deployments using Docker.
• Proficient in cloud platforms — specifically AWS (EC2, S3, Lambda) and GCP (Compute Engine, Cloud Storage, Cloud Functions).
• Experience setting up and managing CI/CD pipelines using Jenkins, GitLab CI, or GitHub Actions.
• Strong command of Git, Linux, and version control workflows.
• Preferred: Working knowledge of AI/ML concepts.
• Preferred: Hands-on experience with RAG pipelines.
• Preferred: Experience with LLM integrations.
• Preferred: Experience with Vector Databases such as Pinecone or ChromaDB.
• Builder mindset with ownership from idea to production.
• Writes clean and well-tested code.
• Comfortable mentoring junior developers in a fast-paced startup environment.
• Must be based in India — open to working from Coimbatore or fully remote.
• Immediate or 30-day joiners preferred.