๐ Hiring : Python Developer โ GenAI & Agentic AI | 5โ7 Years | Bangalore / Remote | Immediate Joiners
๐ Location : Bangalore / Remote
๐งพ Experience : 5โ7 Years
๐ฐ Budget : 1.6 โ 1.7 LPM
๐ Notice Period : Immediate (Bench resources only)
๐ Mode : Remote / Hybrid
โ ๏ธ Note : Candidates must have ESI / Medical Insurance, EPFO Registration, PT Registration, Labour Welfare Fund Registration, Shop Act Registration, and GST Registration .
Only profiles with these compliance documents will be considered.
โจ About the Role
We are looking for an experienced Python Developer specialized in Generative AI (GenAI) and Agentic AI . The ideal candidate will be proficient in LLM-based application development, RAG pipelines, AI agents, LangChain / LangGraph, and cloud AI services. You will design and deploy scalable AI-driven solutions used across enterprise environments.
๐ง Key Responsibilities
- Develop GenAI Applications : Build and optimize AI solutions using Python, LangChain, LangGraph, MCP, and AgentOps.
- LLM Integration : Work with Azure AI, AWS Bedrock, OpenAI, Anthropic, and other LLM providers for text, multimodal, and agent workflows.
- RAG Architecture : Implement Retrieval-Augmented Generation pipelines with vector DBs (Pinecone, Chroma, Weaviate, FAISS).
- Fine-tuning & MLOps : Fine-tune LLMs for domain tasks; build CI / CD pipelines for ML models using MLOps tools and best practices.
- Agentic AI Systems : Design multi-agent workflows with orchestration, memory, planning, and error-handling capabilities.
- Cloud Deployment : Deploy models / applications on AWS (Lambda, EC2, S3, Bedrock, SageMaker) and Azure AI.
- Performance & Cost Optimization : Optimize model response time, scalability, and cloud compute cost.
- Cross-functional Collaboration : Work closely with Data Science, DevOps, and Product teams to deliver robust AI solutions.
๐ฏ Required Skills & Qualifications
Strong proficiency in Python and backend development.Hands-on experience with LangChain, LangGraph, MCP, AgentOps .Strong understanding of RAG pipelines and vector DBs (Pinecone, Chroma, Weaviate, FAISS).Experience in LLM fine-tuning and prompt engineering.Solid knowledge of MLOps (CI / CD, monitoring, model deployment).Experience using cloud AI platforms : AWS Bedrock, Azure AI, SageMaker, GCP Vertex AI (preferred).Understanding of Agentic AI (multi-agent orchestration, planning, memory).Familiarity with Docker, Kubernetes, Terraform, GitOps .Strong analytical, debugging, and problem-solving skills.โญ Preferred Qualifications
Experience with multimodal models (text, image, audio).Exposure to enterprise AI compliance and security frameworks .Knowledge of ISO / IEC AI governance standards .Contributions to open-source AI / ML projects .๐จ How to Apply
If your profile matches and you meet the compliance requirements, please share your resume at [Add Email / Apply Link] .
Immediate joiners are highly preferred.