Description

You will build applications leveraging foundation models and advanced GenAI techniques.

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 in embeddings, knowledge graphs, and ontologies across teams.

Required Skills

• 5+ years of AI/ML-focused software engineering experience.
• Production experience with LLMs and agentic systems.
• Strong MCP knowledge and expert-level Python (Java is explicitly excluded).
• Experience with embeddings at scale, knowledge graphs, ontology extraction, and advanced RAG.
• Full-stack skills (Python back end + modern front end).
• Cloud deployment experience (AWS, Azure, or GCP).
• Familiarity with LLMOps tools.
• Proficiency in Python, AWS, Azure, GCP, AI/ML, LLMOps, Software Engineering, CI/CD, and REST APIs.

Key Skills

Education

Any Gradute