Description

You will engineer and deploy advanced AI applications using foundation models and agentic systems.

This role is on-site.

Responsibilities

• Build applications using foundation models, Agentic RAG, and KG-RAG techniques.
• Develop autonomous agents utilizing modern agentic frameworks.
• Implement MCP integrations and build Python-based full-stack solutions.
• Create scalable REST APIs and deploy AI workloads across major cloud platforms.
• Apply LLMOps/MLOps practices for CI/CD pipelines and system monitoring.

Required Skills

• 5+ years of AI/ML-focused software engineering experience.
• Production experience building with LLMs and agentic systems.
• Expert-level proficiency in Python (Java is not used).
• Experience with embeddings at scale, knowledge graphs, and advanced RAG.
• Full-stack capability (Python backend with modern frontend).
• Cloud deployment experience using AWS, Azure, or GCP.
• Familiarity with LLMOps tooling and CI/CD processes.

Preferred Skills

• Drive innovation in embeddings, knowledge graphs, and ontology development across teams.
• Strong problem-solving and communication abilities.

Key Skills

Education

Any Gradute