Python / Gen AI Developer

2 days ago

Coimbatore, Tamil Nadu, India Lion And Elephants Consultancy Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Overview:

We are looking for an experienced and passionate Python/Gen AI Developer to join our team in Coimbatore. The ideal candidate will have strong expertise in Python, AI/ML frameworks, and hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI systems. You will play a key role in developing intelligent, scalable, and production-ready AI solutions.

Key Responsibilities:

  • Design, fine-tune, and deploy LLMs for internal applications.
  • Implement and optimize Retrieval-Augmented Generation (RAG) pipelines.
  • Build and deploy agentic AI systems using LangChain, LangGraph, or similar frameworks.
  • Develop and manage scalable data pipelines for structured and unstructured data.
  • Ensure performance, scalability, and security of deployed AI systems.
  • Collaborate with cross-functional teams including data engineers, software developers, and product managers.
  • Conduct research and experimentation to improve model performance.
  • Stay updated with latest developments in Gen AI and apply best practices.

Required Skills:

  • Minimum 1.5 years of hands-on experience with AI/ML frameworks such as LangChain, LangGraph, PySpark.
  • Strong Python development skills.
  • Web development experience using FastAPI, Django, or Flask (minimum 1.5 years).
  • Experience in fine-tuning LLMs using Hugging Face, DeepSpeed, LoRA/PEFT.
  • Strong understanding of RAG architecture and vector databases like FAISS, Pinecone, ChromaDB, Weaviate, OpenSearch.
  • Familiarity with AI agent frameworks such as LangChain, AutoGPT, CrewAI, etc.
  • Proficient in deep learning frameworks like PyTorch or TensorFlow.
  • Experience with cloud platforms (AWS, GCP, Azure) and container technologies (Docker, Kubernetes).
  • Understanding of embedding models, vector search, and hybrid retrieval techniques.
  • Experience in deploying models in production environments.

Nice to Have:

  • Experience with multi-modal AI (text, image, audio).
  • Knowledge of MLOps practices (model versioning, monitoring, CI/CD for ML).
  • Exposure to privacy-preserving AI and responsible AI practices.

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