Build agentic workflows using LangChain/LangGraph
Develop autonomous agents for data validation, reporting, and document processing
Deploy scalable, resilient agent pipelines with monitoring
Develop GenAI applications using GPT, Gemini, and LLaMA
Implement RAG, vector search, prompt orchestration, and evaluation
Partner with data scientists to productionize POCs

🎯 Requirements

5–8 years in AI/ML or data science with 2+ years GenAI
Strong Python, PySpark, and API development skills
LLM frameworks: LangChain, LangGraph, Transformers, SDKs
Experience building AI agents, retrieval pipelines, and orchestration
GenAI concepts: prompting, embeddings, RAG, evaluation metrics
Cloud platforms (Azure/AWS/GCP), Docker, CI/CD for ML/AI

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot