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TalixoHR · Greater Bengaluru Area

AI Engineer | GenAI, LLM & Agentic AI | Multiple Locations

entry_levelfull timePosted 21 days ago
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Stack mentioned

llmagentic-airagpythonfastapiflaskopenaigeminilangchainpineconeweaviatedockergitsqlllamaindexkubernetesredisapache-kafkaterraformaws

About the Opportunity

We are hiring AI Engineers across multiple experience levels to build and deploy production-grade Generative AI, LLM, RAG, and Agentic AI solutions.

This is a hands-on engineering role for professionals who can work across Python, APIs, LLM frameworks, vector databases, cloud platforms, and AI application development.

Role Details

- Experience: 1–10 Years

- Locations: Bengaluru, Hyderabad, Chennai, Pune, Mumbai, Gurugram, Noida & Delhi

- Work Mode: Work From Office

- Compensation: ₹12–60 LPA, based on experience and skill level

- Employment: Full-Time

- Shift: 9:30 AM – 6:30 PM

- Notice Period: Immediate to 20/30 Days

- Hiring: Multiple Positions

Key Responsibilities

- Design and develop production-ready Generative AI and LLM applications.

- Build backend services using Python, FastAPI, Flask and REST APIs.

- Develop RAG pipelines using embeddings and vector databases.

- Work with OpenAI GPT, Claude, Gemini and Llama models.

- Design prompt engineering strategies and optimize LLM responses.

- Build AI agent workflows using LangChain and LangGraph.

- Develop API-based AI applications and integrate enterprise systems.

- Work with vector databases such as Pinecone, Weaviate and pgvector.

- Containerize and deploy applications using Docker.

- Use Git and modern development practices for collaborative engineering.

- Build scalable AI solutions using cloud infrastructure.

Mandatory Skills — 100% Match Required

Candidates must have the relevant skills clearly mentioned in their resume:

- Python

- SQL

- FastAPI

- Flask

- REST APIs

- Git

- Docker

- OpenAI GPT

- Claude

- Gemini

- Llama

- Prompt Engineering

- LangChain

- LangGraph

- RAG

- Vector Databases

- Pinecone / Weaviate / pgvector

- Embeddings

- Large Language Models (LLMs)

- API Development

- Cloud Computing

Good-to-Have Skills

Candidates with strong exposure to the following will be preferred:

- CrewAI

- AutoGen

- LlamaIndex

- Kubernetes

- Redis

- Kafka

- Terraform

- AWS

- Microsoft Azure

- Google Cloud Platform

- CI/CD

- Monitoring & Observability

- Model Context Protocol (MCP)

- Function Calling

- LoRA

- PEFT

- Agentic AI

Education

- B.E. / B.Tech

- M.Tech

- MCA

- M.Sc. Computer Science / IT / AI / Data Science

- Or equivalent practical experience

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