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Python Developer – GenAI & Agentic AI
Python Developer – GenAI & Agentic AIPROADSW3 Relations pvt. ltd.Β β€’Β new delhi, delhi, in
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Python Developer – GenAI & Agentic AI

Python Developer – GenAI & Agentic AI

PROADSW3 Relations pvt. ltd.Β β€’Β new delhi, delhi, in
14 hours ago
Job description

πŸ“Œ Hiring : Python Developer – GenAI & Agentic AI | 5–7 Years | Bangalore / Remote | Immediate Joiners

πŸ“ Location : Bangalore / Remote

🧾 Experience : 5–7 Years

πŸ’° Budget : 1.6 – 1.7 LPM

πŸ•’ Notice Period : Immediate (Bench resources only)

πŸ“ Mode : Remote / Hybrid

⚠️ 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.

✨ 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.

πŸ”§ 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.

🎯 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.
  • ⭐ 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 .
  • πŸ“¨ 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.

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