Gen AI Developer

Tech Mahindra

Chennai District

On-site

INR 1,500,000 - 2,700,000

Full time

14 days+

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Job summary

Tech Mahindra in Chennai is seeking a backend AI engineer to develop robust Python-based services and connect applications to major LLM providers. You will design retrieval-augmented pipelines using vector stores and deploy AI solutions on cloud platforms, while ensuring clean code and thorough documentation.

The role requires hands-on experience with LangChain, LlamaIndex or semantic search workflows, and familiarity with Docker/Kubernetes and various cloud environments.

Qualifications

  • Advanced proficiency in Python and standard libraries.
  • Hands-on experience with LangChain, LlamaIndex, or semantic search workflows.
  • Working knowledge of vector stores and SQL/NoSQL databases.
  • Experience with Docker, Kubernetes, and cloud environments (AWS/Azure/GCP).

Responsibilities

  • Build robust backend systems and APIs using Python.
  • Connect applications to LLMs via APIs from providers like OpenAI, Anthropic, or Hugging Face.
  • Build Retrieval-Augmented Generation pipelines using vector databases like Pinecone, FAISS, or ChromaDB.
  • Design, test, and refine prompts and agent workflows using tools like LangChain or LangGraph.
  • Deploy AI solutions on cloud platforms like AWS, Azure, or GCP with proper monitoring.
  • Write clean code, fix bugs, and document development processes

Skills

Python
LangChain
Semantic search
Vector stores
Docker/Kubernetes
Cloud platforms

Tools

LangChain
LlamaIndex
Pinecone
FAISS
ChromaDB

Job description

Role & responsibilities
  • Build robust backend systems and APIs using Python.
  • Connect applications to LLMs via APIs from providers like OpenAI, Anthropic, or Hugging Face.
  • Build Retrieval-Augmented Generation pipelines using vector databases like Pinecone, FAISS, or ChromaDB.
  • Design, test, and refine prompts and agent workflows using tools like LangChain or LangGraph.
  • Deploy AI solutions on cloud platforms like AWS, Azure, or GCP with proper monitoring.
  • Write clean code, fix bugs, and document development processes
Preferred candidate profile
  • Must have Advanced proficiency in Python and standard libraries.
  • Hands-on experience with LangChain, LlamaIndex, or semantic search workflows.
  • Working knowledge of vector stores and SQL/NoSQL databases.
  • Experience with Docker, Kubernetes, and cloud environments (AWS/Azure/GCP).
  • Minimum of 3 to 5 years of general software development with dedicated hands-on focus on AI/ML integrations
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