AI Engineer focused on developing agentic AI systems for professional slide creation at a growing startup. Responsibilities include building workflows and collaborating with product and engineering teams.
About the role
- Senior Agentic AI Engineer focusing on LLM-based systems and design of agentic architectures for a dynamic international company. Collaborating across departments to enhance AI integration and automation efforts in digital entertainment.
Responsibilities
- Design and implement agentic architectures — multi-step planners, ReAct loops, tool-use orchestration, and memory systems
- Build reliable agent pipelines that handle ambiguity, recover from failures, and know when to escalate to humans
- Integrate LLMs (Claude, GPT, open-source models) with external tools, APIs, databases, and enterprise systems
- Develop evaluation frameworks to measure agent reliability, accuracy, cost, and latency in production
- Implement guardrails, safety layers, and human-in-the-loop controls for autonomous systems
- Optimize for real-world constraints: token costs, latency budgets, rate limits, and context window management
- Collaborate with product and engineering teams to identify high-value automation opportunities across the digital entertainment portfolio
- Contribute to internal tooling and frameworks that accelerate agent development across the organization
Requirements
- 5+ years of software engineering experience, with at least 1-2 years focused on LLM-based systems
- Hands-on experience building agentic systems — not just prompt engineering, but orchestration, tool use, and state management
- Strong proficiency in Python; familiarity with TypeScript is a plus
- Deep understanding of LLM APIs (Claude, OpenAI, etc.), including function calling, structured outputs, and streaming
- Experience with at least one agent framework (LangGraph, CrewAI, AutoGen, custom frameworks)
- Solid software engineering fundamentals: testing, CI/CD, observability, version control
- Experience with RAG pipelines, vector databases (Pinecone, Weaviate, pgvector), and retrieval systems
- Experience with MCP (Model Context Protocol) or similar tool-integration standards
Benefits
- Opportunity to work for a dynamic international company with a flat hierarchical structure, where your voice matters and your impact is seen.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Lead AI Engineer designing and building multi - agent capabilities for enterprise applications at AI.IMPACT in Hamburg, Germany. Requires deep generative AI expertise and strong software engineering foundations.
Software Engineer developing AI/GenAI capabilities for unstructured data. Transforming data into actionable insights and autonomous AI systems for business decisions.
Build AI - driven services utilizing LLMs and modern web applications for the educational sector. Collaborate cross - functionally while maintaining clean engineering practices in a growing startup setting.
AI Developer managing the entire lifecycle of AI applications in Berlin. Responsibilities include development, deployment, and monitoring of AI solutions using modern technologies.
AI Engineer designing and deploying intelligent systems that transform global payment services at Sokin. Collaborating with teams on automation across the software development lifecycle in the fintech domain.
AI Developer at GenAIz specializing in machine learning models for the Life Sciences industry. Responsible for software development, model implementation, and collaboration with cross - functional teams.
AI Engineer integrating AI techniques into robotics at Robotec.ai. Involves collaboration across various teams and development of AI - driven features.
AI Engineer designing and developing tools using AI technologies for efficiency at Tailor Platform. Focusing on large - scale language models to enhance engineering productivity and support productivity tools.
Associate AI Engineer developing and deploying AI solutions to optimize global operations for Manulife. Collaborating with cross - functional teams to enhance operational efficiency.