Senior GenAI Engineering Lead — Planning & Execution (Python)

We are seeking a hands-on Engineering Lead to own the roadmap, architecture, and delivery of the planning and execution layer of our client’s AI platform. You will lead a small development team building intelligent workflows that coordinate AI agents, tools, data, and human input to execute complex business processes.

This role combines technical leadership, team development, and hands-on Python engineering to deliver scalable, reliable, productions-ready AI capabilities.

Responsibilities

Own the technical roadmap, architecture, and delivery of the platform’s planning and execution capabilities.

Design and develop AI planning, agent orchestration tool selection, and adaptive execution workflows.

Build reliable execution systems with persistent state, failure recovery, and human oversight.

Establish monitoring, tracing, and evaluation practices to improve performance, quality, and reliability.

Lead, mentor, and coach a small engineering team while remaining hands-on with production Python development.

Collaborate with product, domain, infrastructure, and security teams to deliver enterprise-ready solutions.

Qualifications

8+ years of software engineering experience with advanced Python proficiency

Experience leading engineering teams and owning technical roadmaps or software delivery.

Hands-on experience building production AI workflows, LLM-based planning systems, or agentic applications.

Strong knowledge of agent orchestration, tool calling, asynchronous programming, APIs, and distributed execution.

Experience with workflow reliability, persistent state, failure recovery, and AI evaluation and observability.

Familiarity with RAG, cloud-native services, databases, and messaging systems.

Strong architectural judgement, communication, and problem-solving skills.

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience