Sr. Python Gen AI Developer

Arcitech

3 - 7 years

0 Lacs

maharashtra

Posted:2 days ago| Platform: Shine logo

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Skills Required

docker kubernetes pytorch tensorflow keras langchain langgraph openai anthropic claude azure apis hugging face transformers fastapi pgvector pinecone weaviate faiss milvus aws services ec2 s3 rds sagemaker lambda cloudwatch mlflow weights biases neptune

Work Mode

On-site

Job Type

Full Time

Job Description

As a Sr. Python Gen AI Developer with 3 to 5 years of experience, you will be a part of the AI/ML engineering team contributing 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 Qualifications required: - 25 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 Joining this team will provide you with the opportunity to work on real-world LLM applications, gain exposure to advanced AI infra & MLOps, and be part of a collaborative team with a strong learning culture.,

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