AI Engineer responsible for developing AI agents, tools, and machine learning models at IPFS. Focused on enhancing data accessibility and driving innovation across the IPFS ecosystem.
About the role
- AI Engineer developing AI functionalities for production-oriented chat services at citema systems. Implementing and enhancing orchestration, prompt engineering, and evaluation frameworks.
Responsibilities
- Develop AI functionality for a production-grade chat service
- Implement and enhance agent orchestration, including tool-calling to retrieval systems, knowledge APIs, and ticketing integrations
- Prompt engineering: system and role prompts, response formatting, tone, citation rules, abort and escalation logic
- Build guardrails: prompt injection/jailbreak mitigation, uncertainty handling, source-attribution requirements, policies (including safeguards against negative assertions)
- Contribute to indexing and retrieval pipelines: chunking, metadata, versioning, re-indexing; integration of hybrid data sources
- Establish evaluation and benchmarking: test queries, reference answers, scoring, automated regression tests
- Telemetry and feedback: quality metrics, hallucination flagging, monitoring of AI components
Requirements
- Hands-on experience in LLM engineering (RAG, agentic RAG), including evaluation methods (groundedness, hallucination, robustness)
- Strong software engineering skills (APIs, testing, logging/monitoring), ideally cloud-native
- Knowledge of Azure AI Services and, ideally, Azure AI Search
- Understanding of data protection (PII), data governance, logging minimization, and retention
- Team player, strong documentation skills, reliable in complex stakeholder setups
- Very good spoken and written German required
Benefits
- Active involvement in innovative future technologies
- Flexible new-work model with hybrid working options
- Permanent employment contract
- Givve Card as a tax-free company benefit
- Extensive decision-making authority and creative freedom
- Individual career planning and development opportunities
- Knowledge transfer and synergies through a strong team
- Technological variety with exciting insights into security-relevant systems
- Challenging work that's genuinely enjoyable
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Lead AI automation strategy for Customer Service at Spotify by shaping AI agents' behavior and outcomes. Collaborate with cross - functional teams to ensure effective, safe, and trustworthy AI experiences.
Medical Affairs AI Lead driving AI transformation at Pfizer. Defines vision, builds prototypes, and collaborates with cross - functional teams for effective AI solutions.
AI Developer creating AI - powered solutions for clients at PwC. This role involves data engineering and AI feature implementation.
AI Engineer developing AI solutions on Horizon for renewable energy optimization. Collaborating with product managers and software engineers to design and deploy LLM - powered systems.
Senior Lead AI Engineer developing responsible and reliable AI systems at Capital One. Leading teams to deploy AI - powered products and advance the company's AI capabilities.
Senior Manager, AI Engineering leading the strategic adoption and scaling of AI at VodafoneThree. Overseeing implementation of scalable AI capabilities and collaborating across teams for innovation.
AI Developer designing and delivering intelligent, production - grade AI solutions for clients. Building data foundations and shipping LLM features for various applications in cloud environments.
AI Engineer supporting the design, development, and deployment of AI/ML solutions in mission - driven government environments at Synergy ECP.
AI Developer intern at Atos working on healthcare innovation projects involving AI and R&D. Collaborating in a small team under the guidance of a mentor in an agile environment.