Lead Engineer – GenAI, Agentic AI, and Knowledge Graph Architect

Job summary

Job Description: We are seeking a Lead Engineer – GenAI, Agentic AI, and Knowledge Graph Architect to design, develop, and deploy enterprise‑scale intelligent systems that fuse Generative AI, autonomous agents, symbolic reasoning, and Knowledge Graphs .

Benefits

Qualifications

• Develop and optimize graph queries and traversal patterns using
• Required
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning , or related field.
• 7+ years of overall professional experience in AI/ML, Data Science, or advanced software engineering.
• 5+ years of strong hands‑on experience in Python , with solid software engineering best practices.
• 3+ years of experience building Generative AI or Agentic AI systems , including production deployments.
• Hands‑on experience with LLMs , prompt engineering, and model integration.
• Practical experience with Knowledge Graph design and implementation .
• Deep understanding of knowledge graphs, graph data modeling, graph algorithms, and semantic
• Experience with LangGraph, AutoGen, LangChain , or similar agent orchestration frameworks.
• Experience designing multi‑agent systems and long‑horizon reasoning workflows.
• Knowledge of neuro‑symbolic AI concepts , logic‑based reasoning, or rule‑based systems.

Responsibilities

• Architect and implement neuro-symbolic AI solutions that combine:
• Large Language Models and multimodal foundation models
• Symbolic reasoning, business rules, constraints, and policy engines
• Knowledge graphs and ontologies for grounding, reasoning, governance, and explainability
• Design and implement enterprise knowledge graph architectures using appropriate graph paradigms and
• of the position.
• The top of the range is reserved for candidates who notably exceed the

Skills

Degrees

Work schedule

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