AI Engineer (m/w/d) | Generative AI & Agentic Systems - NEARSHORE

Description:

The objective of this project is to enhance the customer experience by developing an AI-powered Product Advisor that helps customers identify the most suitable products based on their individual needs. The solution leverages Generative AI and intelligent agent capabilities to guide customers seamlessly through the entire sales journey, from product discovery and consultation to contract completion on the website.

Your tasks will include:

• Designing and implementing agentic AI workflows and customer advisory capabilities
• Developing and optimizing LLM-based applications and RAG architectures
• Langgraph, Langchain and Langfuse
• Translating complex business rules into reliable and scalable AI agent behavior
• Implementing quality assurance and testing concepts for AI-driven interactions including the Evals(deepeval/Geval)
• Consulting the deployment and operationalization of the solution in a production environment
• Collaborating closely with business stakeholders, product owners, and technical teams

As part of a cross-functional product team, you will contribute to the design, development, testing, and production rollout of a Generative AI-based customer advisory solution. The application will provide personalized product recommendations and support customers throughout the end-to-end sales process across digital channels.

Programming skills:

• Strong expertise in Python
• Experience designing production-grade REST APIs with FastAPI 
• Solid software engineering fundamentals, clean code principles, and design patterns 
• Experience with testing frameworks and automation Generative AI & LLMs 
• Practical experience building LLM-powered applications 
• Strong understanding of:
  • Prompt Engineering
  • Function Calling / Tool Calling
  • Agentic AI Systems
  • Multi-Agent Architectures
  • Context Management
  • Memory Systems
• o Structured Outputs

RAG & Search skills:

• Hands-on experience designing and implementing RAG solutions 
• Understanding of embeddings, vector databases, ranking, retrieval optimization, and hybrid search 
• Experience with Azure AI Search or similar search platforms Frameworks & Tools 
• LangChain 
• LangGraph 
• LangFuse 
• DeepEval / G-Eval 
• OpenAI APIs 
• AI observability and monitoring solutions Data & Infrastructure 
• Vector databases (PgVector) 
• Redis 
• Docker 
• Kubernetes 
• CI/CD Pipelines 
• Cloud platforms (preferably Azure) 

!!! This job is only for Nearshore ressources !!!

Start: ab 15.10.2026 

Ende: bis 31.12.2026 + Option

Volumen: 540 Offsite Stunden

Einsatzort: Remote