Description

You design and implement agentic AI solutions, including single and multi-agent systems.

You translate business problems into agent goals, workflows, and tool chains.

Responsibilities

• Lead architecture and design of LLM-orchestrated systems with memory, planning, and decision logic.
• Integrate AI agents with enterprise platforms, APIs, and data sources.
• Apply AI governance, risk, and control frameworks across agent lifecycles.
• Support solutioning, PoCs, and MVPs aligned to client scope documents.
• Mentor junior team members and review agent designs and code.

Required Skills

• 5+ years of experience in AI/ML engineering.
• Proficiency in Python.
• Experience with LangGraph for agent orchestration.
• Hands-on experience with Retrieval-Augmented Generation (RAG).
• Deep Learning (DL) and Machine Learning (ML) fundamentals.
• Strong knowledge of Google Cloud Platform (GCP).
• Experience integrating with enterprise platforms and APIs.

Preferred Skills

• Experience with multi-agent systems and tool chains.

Key Skills

Education

Any Gradute