Description

You will engineer AI solutions utilizing foundation models and advanced generative AI techniques.

Responsibilities

• Build applications leveraging foundation models and advanced GenAI techniques (Agentic RAG, KG-RAG).
• 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

• 5+ years of AI/ML-focused software engineering experience.
• Production experience with LLMs and agentic systems.
• Expert-level Python programming (no Java).
• Experience with embeddings at scale, knowledge graphs, ontology extraction, and advanced RAG.
• Cloud deployment experience on AWS, Azure, or GCP.
• Familiarity with LLMOps tools.
• Strong problem-solving and communication skills.
• Degree in CS, AI/ML, or related field.

Key Skills

Education

Any Gradute