Applied AI Developer

About the role

SAP is looking for an Applied AI Developer to join Applied AI Builders, a small, hands-on pod within the Industry AI ENR team that works closely with the CTO. The pod turns ambiguous problems and half-formed ideas into prototypes, proofs and production-ready outcomes, embedding with product teams on focused AI missions such as ontologies. The work spans prototype to production, with travel expected of 0 to 10%.

Key responsibilities

• Build modules and prototypes end-to-end, from problem definition through build, deployment and evaluation.
• Use AI tools such as Claude to generate code and ideas, then read, challenge and verify their output.
• Partner with platform and product teams to scale what proves valuable.
• Own the outcome of AI missions, including evaluating ontology-grounded agents against prompt-and-MCP-based approaches.

Required profile

• 3 to 6 years of hands-on experience with LLM APIs, agentic orchestration frameworks, RAG pipelines, prompt engineering and evaluations (human, LLM-as-judge, automated).
• A strong sense of good versus bad code.
• Learning agility: rapid adoption of new models, frameworks, SAP technologies, ontologies and industry processes.
• Bias for action and critical thinking, moving quickly from ambiguity to a working prototype.
• End-to-end ownership of the outcome.

Required skills

• LLM APIs, agentic orchestration frameworks, RAG pipelines, prompt engineering and evals.
• Python is helpful; comfort with Python is not required.
• Enjoyment of learning new stacks such as BTP, CAP, HANA Cloud, Joule, TypeScript and Terraform.