Description

Build applications using foundation models and advanced GenAI techniques like GraphRAG. You will develop autonomous agents, implement MCP integrations, and deploy scalable AI workloads on major clouds.

This role is on-site.

Responsibilities

• Develop autonomous agents using modern agentic frameworks.
• Implement MCP integrations and Python-based full-stack solutions.
• Create scalable REST APIs and deploy AI workloads on major clouds.
• Apply LLMOps/MLOps best practices for CI/CD and monitoring.

Required Skills

• 10+ years of experience in AI/ML-focused software engineering.
• Expert proficiency in Python and associated AI libraries.
• Production experience with LLMs and agentic systems.
• Experience with embeddings at scale, knowledge graphs, ontology extraction, and GraphRAG.
• Full-stack capability (Python backend plus modern frontend).
• Cloud deployment experience (AWS, Azure, or GCP).
• Familiarity with LLMOps tools and CI/CD.

Preferred Skills

• Skills in NLP, MLOps, NER, and Data Science.
• Drive innovation across embeddings, knowledge graphs, and ontologies.

Key Skills

Education

Any Gradute