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SISimon-Kucher

Senior AI Engineer(m/w/x)

Berlin
Full-timeWith Home OfficeSenior
AI/ML

Optimizing LLM interactions with RAG and tool-calling for SaaS integration at a global management consultancy. Deep knowledge of graph databases and LangChain framework experience required. Daycare allowance, hybrid work.

Requirements

  • Bachelor's or Master's degree in Computer Science, Software Engineering, Business Information Systems, or related field
  • Programming background in Java and Python
  • Proven experience designing/implementing AI workflows and LangChain
  • Deep knowledge of knowledge representation and graph databases (Neo4j, TigerGraph)
  • Proficiency in building AI evals
  • Knowledge of MCP servers and multi-agent collaboration
  • Familiarity with AI monitoring/observability tools (Braintrust, Arize)
  • Familiarity with ML/NLP Classifiers
  • Understanding of data pipelines and analytics workflows
  • 5+ years software engineering experience, 2+ years AI engineering
  • Hands-on ability to embed cutting-edge AI into pricing products
  • Experience with agile methodologies and CI/CD pipelines
  • Experience in pricing, fintech, or B2B SaaS platforms
  • Familiarity with automation frameworks like n8n
  • Exposure to ML/optimization algorithms for pricing/similar domains

Tasks

  • Design, build, and optimize agentic AI workflows
  • Develop LLM interactions using RAG and orchestration
  • Develop semantic context awareness
  • Automate full workflow processes
  • Ensure workflow observability
  • Collaborate with AI Product Manager, Data Scientist, and MLOps
  • Deliver scalable, transparent, and reliable AI features
  • Implement tool-calling patterns
  • Integrate LLMs with SaaS tools and APIs
  • Enhance performance using fine-tuning
  • Enhance performance using parameter-efficient techniques
  • Manage prompts and chat
  • Ensure LLM responses align with user permissions
  • Log LLM results and metadata
  • Perform ontology-driven tagging
  • Build semantic understanding via knowledge graphs
  • Build context awareness via knowledge graphs
  • Implement Reinforcement Learning to capture user feedback
  • Apply user feedback to decision-making models
  • Refine AI agent recommendations based on observed interactions
  • Implement robust monitoring and evaluation pipelines with observability tools
  • Ensure AI model performance, reliability, explainability, and transparency
  • Collaborate with AI Product Manager to translate roadmap deliverables
  • Collaborate with Data Scientist on experimentation and data-driven insights
  • Collaborate with engineers to integrate AI components
  • Integrate AI components into SaaS architecture
  • Run experiments
  • Track performance metrics
  • Continuously optimize AI LLM model behavior
  • Build tooling for prompt versioning, testing, and deployment pipelines

Work Experience

  • 5 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Java
  • Python
  • LangChain
  • Neo4j
  • TigerGraph
  • MCP servers
  • Braintrust
  • Arize
  • n8n

Benefits

Flexible Working

  • Hybrid working

Childcare

  • Daycare allowance

Corporate Discounts

  • Corporate discounts

Mental Health Support

  • Wellbeing support

Snacks & Drinks

  • Healthy snacks and beverages

Team Events

  • Employee events
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Simon-Kucher and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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