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Ai Engineering Managers
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Ai Engineering Managers

Sri Krishna Thangamani's profile picture
Posted by Sri Krishna Thangamani
10 - 15 yrs
Best in industry
Remote, Coimbatore
Skills
skill iconPython
Retrieval Augmented Generation (RAG)
LangGraph
Natural Language Processing (NLP)
Data Structures
Robot Framework
Google Cloud Platform (GCP)
skill iconAmazon Web Services (AWS)
Algorithms
WebSocket
skill iconGit
Linux/Unix
Anthropic Claude

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 StructuresAlgorithms, and Design Patterns
  • Familiarity with WebSocketsGitLinux/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
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Techjays

Founded :
2020
Type :
Services
Size :
100-1000
Stage :
Profitable

About

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.

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Tech stack

Generative AI
Artificial Intelligence (AI)
Large Language Models (LLM)
backend
Data Structures
Databases
Google Cloud Platform (GCP)
skill iconAmazon Web Services (AWS)
skill iconDocker
CI/CD
Systems design
Integration

Candid answers by the company

What is the location preference of jobs?
What kind of projects will I work on?
What technologies are primarily used at Techjays?
Do I need prior AI/LLM experience?

Coimbatore (remote) and Remote options available.

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