Lead AI Engineer

Thomas Ren Associates Ltd; München; Vor Ort; EUR 110.000 - 140.000; Vollzeit

Zusammenfassung

Thomas Ren Associates Ltd is seeking a Tech Lead to own the technical vision and architecture for our multi-agent AI systems. You will bridge cutting‑edge research with production‑grade software, shaping how autonomous agents plan, act, and integrate into enterprise environments.

You will guide teams on agent frameworks, memory stores, and real-time pipelines, establishing robust engineering standards, API design, and CI/CD practices to ensure reliability and performance across services.

Qualifikationen

• 5+ years of software engineering leadership in backend or distributed systems.
• Hands-on experience building agent frameworks (LangGraph, AutoGen, CrewAI) with LLM tool-calling and memory stores.
• Knowledge of API design, microservices, vector databases, and real-time streaming architectures.
• Experience setting up evaluation frameworks (evals) and guardrails for non-deterministic model outputs.

Aufgaben

• Agent Architecture & Planning: design multi-agent frameworks with robust reasoning and autonomous execution.
• Orchestration & Workflow Control: architect memory architectures, state management, routing for tool-use and agent workflows.
• Production Integration: own end-to-end integration of agentized systems into core infrastructure with high availability and low latency.
• Engineering Standards: set production-grade benchmarks for AI safety, guardrails, and CI/CD pipelines for non-deterministic systems.
• Technical Leadership: guide teams on best practices, conduct architectural reviews, maintain code quality across AI services.

Kenntnisse

Leadership

Agentic AI

Backend Systems

High Availability

Tools

LangGraph

AutoGen

CrewAI

Jobbeschreibung

We are looking for a Tech Lead to own the technical vision, architectural framework, and engineering rigor behind our multi-agent AI systems. In this role, you will bridge cutting‑edge AI research with production‑grade software engineering—defining how autonomous agents plan, orchestrate, and reliably integrate into enterprise environments.

Key Responsibilities

• Agent Architecture & Planning: Design robust multi‑agent frameworks capable of complex reasoning, goal decomposition, autonomous execution, and self‑correction.
• Orchestration & Workflow Control: Architect state‑management pipelines, memory architectures, and routing mechanisms to orchestrate complex tool‑use and multi‑step agent workflows.
• Production Integration: Own the end‑to‑end integration of agentic systems into core infrastructure, ensuring high availability, low latency, and deterministic reliability.
• Engineering Standards: Set production‑grade benchmarks for AI safety, guardrails, evaluation metrics, unit testing, and CI/CD pipelines specific to non‑deterministic systems.
• Technical Leadership: Guide engineering teams on best practices, conduct architectural reviews, and maintain code quality across all AI‑driven services.

What We’re Looking For

• Technical Depth: 5+ years of software engineering leadership, with proven experience building and deploying complex backend systems or distributed architectures.
• Agentic AI Focus: Hands‑on experience building agent frameworks (e.g., LangGraph, AutoGen, CrewAI, or custom orchestration platforms) utilizing LLM tool‑calling and memory stores.
• Production Rigor: Deep knowledge of API design, microservices, vector databases, and real‑time streaming architectures.
• Standards & Evaluation: Experience setting up evaluation frameworks (evals) and guardrails for non‑deterministic model outputs.