Sr. Python Gen AI Developer

We’re Hiring : Sr. Python Gen AI Developer – 3 to 5 Years Experience (3+ years Mandatory)

Are you passionate about building cutting-edge AI products?

Do you enjoy experimenting with LLMs, building scalable RAG systems, and deploying real-world ML solutions?

Role : Python Developer – AI / ML

Experience : 3 - 5 years (3+ years Mandatory)

Location : Turbhe, Navi Mumbai (On site)

Budget - 5lpa - 12lpa

Industry : AI | ML | LLMs | RAG Systems | Cloud

What You’ll Work On

You will join our AI / ML engineering team and contribute to building production-grade LLM solutions. Your responsibilities include :

Developing & optimizing ML models using PyTorch / TensorFlow / Keras

Building end-to-end LLM + RAG pipelines using LangChain / LangGraph

Working with OpenAI, Anthropic Claude, Azure APIs

Fine-tuning models using Hugging Face Transformers

Implementing semantic search with embedding models + pgvector

Working on transformer-based architectures (BERT, GPT, LLaMA, Mistral)

Implementing evaluation & monitoring : RAGAS, LangSmith

Developing FastAPI microservices (REST / GraphQL + WebSockets)

Integrating vector DBs : pgvector, Pinecone, Weaviate, FAISS, Milvus

Deploying using Docker + Kubernetes (EKS / GKE / AKS)

Utilizing AWS services : EC2, S3, RDS, SageMaker, Lambda, CloudWatch

Managing ML experiments : MLflow / Weights & Biases / Neptune

Ensuring secure, robust LLM deployments

Contributing to code reviews, AI knowledge sessions & Agile rituals

What We’re Looking For

2–5 years Python experience

Hands-on with LangChain / LangGraph

Strong ML / DL background

FastAPI expertise

Experience with pgvector & vector databases

Comfortable with cloud (AWS preferred), CI / CD, & Git workflows

Understanding of LLM security & prompt safety

✨ Bonus Skills (Good to Have)

LoRA, QLoRA, PEFT fine-tuning

Distributed training, model compression

Airflow, Prefect, Dagster

Terraform / CloudFormation

Streamlit or Gradio

Open-source contributions

⭐ Why Join Us?

Work on real-world LLM applications

Exposure to advanced AI infra & MLOps

Opportunity to innovate, experiment, and deploy at scale

Collaborative team with strong learning culture