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HHTGF
Bonn, Germany9 months ago
Grade
Senior
Experience
2-4 years
Work format
Remote, Hybrid, Onsite
Employment
Full-time
English level
B1, intermediate
An email or a Telegram message to the recruiter
HTGF is one of the most active early-stage investors in Europe. To professionalize internal processes and drive innovation, the IT and information environment is being deliberately expanded. For the earliest possible start, we are looking for a Senior AI Engineer (m/w/d) on a permanent, full-time basis at our locations in Bonn, Berlin, or Munich.
As a Senior AI Engineer (m/w/d), you will become part of an 8-person IT team and take responsibility for the in-house development of AI solutions, as well as for the architecture and roadmap design. You will become part of an experienced team and a huge network. With over 800 investments and over 200 exits and IPOs, we are a significant player in the European seed investment sector.
You will be responsible for the provision and operation of the AI infrastructure for the entire company – flexibly, using Linear and Notion.
Development of AI solutions: AI agents, automations, RAG systems, and LLM-based applications – agent pipelines with LangGraph, asynchronous Python with FastAPI and Pydantic
Corporate RAG pipelines: Development and implementation of RAG pipelines with semantic search for precise and high-quality answers across the company
Data integration and connectivity: ETL pipelines, API integrations, and MCP servers for connecting internal data sources; data retrieval via vector and graph databases
LLM monitoring and evaluation: Traceability and evaluations with Langfuse, as well as the creation of evaluation and error analysis loops for LLM/agent systems for continuous quality improvement
Management of agent workflows: Context management, specifications, as well as the creation of verifiers/evaluators for targeted management of coding agents, not just their use
Development of business applications: Frontends with React, TypeScript, and Tailwind, deployment in Docker, as well as Dynamics 365 solutions
Tech Stack: Backend with Python, Docker, LangGraph, Langfuse, as well as vector and graph databases; frontend with React and Tailwind
Completed university degree in Computer Science, Mathematics, Engineering, or a comparable IT education
Expertise in Full-Stack development with 2-4 years of experience as an AI Engineer, including demonstrated responsibility for architecture/system design (not just implementation)
Professional use of AI coding tools, frameworks, and skills
Practical experience with agents, tool calling, and context engineering
Experience in managing coding agents, not just using them: context management, specifications, creation of verifiers/evaluators for agent workflows
Proven practice in error analysis and evaluation loops for LLM/agent systems, not just prompt engineering
Product Sense: Ability to derive technical specifications from business requirements independently (here: VC/Dealflow context), not just implementing adapted tasks
Knowledge of Python (async) and JavaScript/TypeScript
Connecting data and retrieving information via vector and graph databases
High motivation to learn
Fluent German (C1/C2) and conversational English (B1/B2)
Remote, hybrid, on-site – the mix makes it work. In addition to regular joint days in the office, we work flexibly in terms of time and location.
30 days of vacation, plus Christmas, New Year's, Rosenmontag, and additional vacation days
Other offers and opportunities, such as: company fitness, bike leasing, capital-forming benefits, public transport ticket, coaching, and further training
HTGF is one of the most active early-stage investors in Europe. To professionalize internal processes and drive innovation, the IT and information environment is being deliberately expanded. For the earliest possible start, we are looking for a Senior AI Engineer (m/w/d) on a permanent, full-time basis at our locations in Bonn, Berlin, or Munich.
As a Senior AI Engineer (m/w/d), you will become part of an 8-person IT team and take responsibility for the in-house development of AI solutions, as well as for the architecture and roadmap design. You will be responsible for the provision and operation of the AI infrastructure for the entire company – flexibly, using Linear and Notion.
Development of AI solutions: AI agents, automations, RAG systems, and LLM-based applications – agent pipelines with LangGraph, asynchronous Python with FastAPI and Pydantic
Corporate RAG pipelines: Development and implementation of RAG pipelines with semantic search for precise and high-quality answers across the company
Data integration and connectivity: ETL pipelines, API integrations, and MCP servers for connecting internal data sources; data retrieval via vector and graph databases
LLM monitoring and evaluation: Traceability and evaluations with Langfuse, as well as the creation of evaluation and error analysis loops for LLM/agent systems for continuous quality improvement
Management of agent workflows: Context management, specifications, as well as the creation of verifiers/evaluators for targeted management of coding agents, not just their use
Development of business applications: Frontends with React, TypeScript, and Tailwind, deployment in Docker, as well as Dynamics 365 solutions
Tech Stack: Backend with Python, Docker, LangGraph, Langfuse, as well as vector and graph databases; frontend with React and Tailwind
Completed university degree in Computer Science, Mathematics, Engineering, or a comparable IT education
Expertise in Full-Stack development with 2-4 years of experience as an AI Engineer, including demonstrated responsibility for architecture/system design (not just implementation)
Professional use of AI coding tools, frameworks, and skills
Practical experience with agents, tool calling, and context engineering
Experience in managing coding agents, not just using them: context management, specifications, creation of verifiers/evaluators for agent workflows
Proven practice in error analysis and evaluation loops for LLM/agent systems, not just prompt engineering
Product Sense: Ability to derive technical specifications from business requirements independently (here: VC/Dealflow context), not just implementing adapted tasks
Knowledge of Python (async) and JavaScript/TypeScript
Connecting data and retrieving information via vector and graph databases
High motivation to learn
Fluent German (C1/C2) and conversational English (B1/B2)
Remote, hybrid, on-site – the mix makes it work. In addition to regular joint days in the office, we work flexibly in terms of time and location.
30 days of vacation, plus Christmas, New Year's, Rosenmontag, and additional vacation days
Other offers and opportunities, such as: company fitness, bike leasing, capital-forming benefits, public transport ticket, coaching, and further training
You will become part of an experienced team and a huge network. With over 800 investments and over 200 exits and IPOs, we are a significant player in the European seed investment sector.
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Most often 69,300 to 92,000
