AI Tech Lead (f/m/d) at JTL-Software GmbH

Cologne, North Rhine-Westphalia, Germany -

Full Time

Start Date

Immediate

Expiry Date

03 Sep, 26

Salary

0.0

Posted On

05 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, LangChain, LangGraph, Azure, Kubernetes, System Architecture, LLM Integration, RAG, Vector Databases, Distributed Systems, Asyncio, REST, GraphQL, gRPC, CI/CD

Industry

Software Development

Description

Your mission We're looking for a senior technical leader to define and drive the architecture of Juno - the agentic AI layer at the core of our platform. You'll be the go-to technical authority on how our agents are designed, orchestrated, and deployed at scale, making the hard architectural calls on everything from multi-agent coordination patterns to production infrastructure. This is a deeply hands-on role: you'll be in the code daily, prototyping new approaches, setting the bar for engineering quality, and solving systems problems. If you want to be the person who shapes how agentic AI actually works in production - not in theory - this is the role. You own end-to-end system architecture for agentic AI applications, from high-level design through production deployment, scaling, and observability. You design and build multi-agent orchestration systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or custom orchestration layers. You architect scalable, fault-tolerant backend services using Python (FastAPI, async patterns) with clean API contracts (REST, GraphQL, gRPC) consumed by internal teams and external clients. You implement cloud deployment strategies on Azure (AKS, Azure AI Services, Functions),or other cloud, including infrastructure-as-code, CI/CD pipelines, and cost governance. You design integration patterns for connecting agents to external tools, APIs, databases, and enterprise systems in a secure and extensible way. You establish architectural standards, design patterns, and engineering best practices for the AI engineering team (code quality, testing, security, documentation). You evaluate emerging agentic AI technologies, LLM providers, and tooling; present technical recommendations and trade-off analyses to leadership. You mentor and grow junior and mid-level engineers through architecture reviews, code reviews, and knowledge-sharing sessions. Your profile You have 8+years of professional software engineering experience with at least 3 years in a senior, staff, or architect-level role focused on system design. You have expert-level Python skills: asyncio, FastAPI or equivalent async frameworks, Pydantic, dependency injection, and modern packaging (Poetry /uv). You have a strong track record of designing and building production APIs (REST,GraphQL, orgRPC) and event-driven / microservice architectures. You have hands-on experience building applications with agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar). You have working knowledge of LLM integration patterns: prompt management, tool-use / function-calling, retrieval-augmented generation (RAG), vector stores (Pinecone,Weaviate,Qdrant,pgvector), and context-window optimization. You have production cloud deployment experience on Azure: container orchestration (Kubernetes), serverless compute, networking, and infrastructure-as-code (Terraform,Pulumi, or CloudFormation). You have a solid understanding of distributed systems fundamentals: messaging (Kafka, RabbitMQ, SQS), caching (Redis), data base selection, and observability (OpenTelemetry, Prometheus, Grafana). You have excellent communication skills with the ability to articulate complex architectural decisions to both technical and non-technical stakeholders. Why us? Mobile Work: Almost all of our colleagues work remotely. If you prefer working from the office or simply want a change of scenery, you’re welcome to use any of our offices at any time. For workshops, training sessions, or trade fairs, we also enjoy meeting you in person! Flexible Working Hours: Thanks to our trust-based working hours, you can organize your workday in a way that suits you best. Whether you’re an early bird or a night owl, what matters is that you complete your tasks reliably and coordinate well with your team. Workation: Work where others go on vacation? No problem! You can work from abroad for up to 180 days per year, with only a few country-specific exceptions. Meal Allowance: Through Hrmony, you receive a monthly meal allowance of up to €112.50 net — perfect for a healthy and delicious lunch break while working remotely. Ergonomic Workspace: We support you with a flat-rate allowance so you can set up your ergonomic home office workspace according to your needs. Events: We love the “JTL spirit”! Despite working remotely, we celebrate our summer party and Christmas party together with the entire JTL Group and organize regular team events — creating a real sense of togetherness. Fitness & Sports Offers: Whether through the subsidized JobRad bike leasing program or discounted sports offers via EGYM Wellpass — staying fit is easy with us! Financial Benefits: We support you with an occupational pension plan and capital-forming benefits — optional and individually tailored. If you’re excited about taking the next step in your career, we look forward to receiving your application! Apply directly here or via our website: https://www.jtl-software.de/jobs About us JTL is one of the leading providers of e-commerce software in the German-speaking region – with around 450 employees across the group and 50,000 customers from a wide range of industries. We develop scalable, flexible solutions for the online retail of the future – from ERP systems to shop and marketplace integrations. Fairness and respect are part of our everyday practice. Are you committed, curious, and eager to work in a team while taking on responsibility? Are you looking for a job where Monday isn’t the worst day of the week? Then we look forward to receiving your application!

Responsibilities

Define and drive the architecture of the agentic AI layer, focusing on multi-agent coordination and production infrastructure. Lead the end-to-end system design, deployment, and scaling of AI applications while mentoring junior engineers.