Sr. Python Gen AI Developer

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

Role: Python Developer – AI/ML

Experience:

Location:

CTC: 5 LPA - 12 LPA

Industry:

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?

Apply directly through our AI interview: Job Link

🔧 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

Apply directly through our AI interview: Job Link