Full - time role focused on data preparation, AI applications, and deep learning methods in Burgbrohl, Germany. Collaborating on projects and prototype development with a strong emphasis on programming in Python.
About the role
- Senior AI Agent Engineer designing and deploying LLM-based systems for a leading SaaS commerce platform. Collaborating with cross-functional teams to revolutionize eCommerce growth.
Responsibilities
- Design, develop, and deploy LLM-based systems, agentic applications and complex AI workflows using generative AI models (Claude, OpenAI, Gemini, etc.) and relevant frameworks (e.g., LangChain, LangGraph, Crew AI, or similar).
- Deploy, operate, and iterate on AI systems in production environments, including performance tuning and cost optimization.
- Design and build Retrieval-Augmented Generation (RAG) systems using embeddings, vector databases, and semantic search.
- Build and optimize prompts and interaction strategies for LLMs to achieve desired outcomes in agentic systems.
- Integrate various tools, APIs, and data sources, potentially utilizing MCP Servers, to enhance model context and tool integration.
- Develop robust, scalable, and maintainable code in Python for all components of the agentic applications, from backend logic to API integrations.
- Implement testing, evaluation and monitoring strategies for agentic systems to ensure performance, reliability, and safety, and effective reasoning, tool usage, and failure handling.
- Collaborate closely with product managers, designers, and other engineers to translate requirements into technical solutions.
- Stay up-to-date with the latest research and developments in generative AI, LLMs, agentic systems, and protocols like MCP, evaluating their potential for our products.
- Contribute to the architecture and technical roadmap of our AI initiatives.
- Mentor junior engineers and share knowledge within the team.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field
- Minimum of 3 years of professional experience in software development, with a significant focus on AI/ML applications
- Proven proficiency in Python and experience with relevant AI/ML libraries and frameworks
- Hands-on experience in developing applications utilizing Large Language Models (LLMs) such as Claude, OpenAI (GPT-4, etc.), Google Gemini, or other prominent generative AI models
- Experience in building agentic applications or workflows, demonstrating an understanding of concepts like planning, memory, tool usage, and multi-agent systems
- Familiarity with AI workflow orchestration and agentic frameworks (e.g., LangChain, LangGraph, Crew AI, Haystack, or similar)
- Practical experience with RAG architectures, embeddings, vector databases, and semantic search
- Experience working with Model Context Protocol (MCP) Servers
- Experience with RESTful APIs and integrating external services
- Solid understanding of software development best practices, including version control (Git), testing, and CI/CD
- Experience with Snowflake is a plus.
- Excellent problem-solving skills and the ability to work independently and as part of a collaborative team.
- Strong communication skills, both written and verbal.
Benefits
- competitive base salary
- attractive bonus
- employee healthcare
- life assurance
- group income protection
- dental care plan
- eye care scheme
- 24 hour on-line GP
- company pension
- cycle to work scheme
- 25 days off + bank holidays + birthdays off
- reduced gym membership
- social events
- employee referral scheme
- personal development plans
- Profitero Hero scheme
- flexible working hours
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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