Description

You will build applications using foundation models and advanced GenAI techniques like GraphRAG.

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.
• Drive innovation across embeddings, knowledge graphs, and ontologies.

Required Skills

• 10+ years of experience in AI/ML-focused software engineering.
• Production experience with LLMs and agentic systems.
• Expert proficiency in Python and associated AI libraries.
• 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.
• Skills in NLP, MLOps, NER, and Data Science.

Key Skills

Education

Any Gradute