Siemens · 6 hours ago
Agentic Developer – AI Development & Enablement
Siemens is a world leader in industrial software, and they are seeking an Agentic Developer to design and build agentic AI capabilities for development teams. This role focuses on creating reusable frameworks and tools to enhance developer productivity and ensure secure, reliable code generation.
Artificial Intelligence (AI)ConsultingCyber SecurityInternet of Things
Responsibilities
Agent Frameworks: Design and maintain agent runtimes, secure function-calling, tool integrations, and orchestration patterns
RAG and IR: Build retrieval-augmented generation pipelines with robust information retrieval, indexing, and data governance
Developer Accelerators: Create SDKs, APIs, templates, and IDE extensions that enable code generation, test creation, and documentation synthesis
Enablement and Adoption: Pair with squads to onboard use cases, deliver workshops, playbooks, and office hours; remove blockers and ensure successful rollout
Quality and Safety: Implement error analysis, spec-driven development, and BDD-based testing; enforce guardrails, privacy, and policy compliance
Observability and Reliability: Instrument agentic services for metrics, logs, and traces; define SLIs/SLOs and operational runbooks
Collaboration: Work closely with SRE, Platform Engineering, Security, and Product to deliver end-to-end outcomes and measurable ROI
Continuous Improvement: Capture feedback, iterate on accelerators, and publish reference architectures and best practices
Qualification
Required
Strong programming in Python or TypeScript (plus familiarity with Go or Java); clean code, testing, and refactoring
Hands-on with GenAI stacks: LLM orchestration frameworks, function-calling, prompt/policy libraries, and vector databases
AI/ML and Information Retrieval fundamentals; experience building RAG pipelines and evaluating relevance/quality
Error analysis, spec authoring, and behavior-driven design (BDD) for automated tests and acceptance criteria
API and SDK design; CI/CD integration; observability for AI services (metrics, logs, traces)
Security, privacy, and compliance guardrails; policy-as-code and governance workflows
Developer enablement mindset: workshops, playbooks, documentation, and pairing with teams to drive adoption
BA/BS in Computer Science, AI/ML, Information Systems, or related field required; advanced degree or equivalent experience preferred
4–8+ years of software development with 2+ years building agentic or GenAI solutions; prior experience enabling developers through SDKs, templates, or internal platforms
Benefits
Flexibility - Choosing between working at home and the office at other times is the norm here.
Great benefits and rewards, as you'd expect from a world leader in industrial software.
Company
Siemens
Siemens empowers customers to transform the industries that form the backbone of economies: industry, transportation, buildings and grids.
Funding
Current Stage
Public CompanyTotal Funding
$7.01BKey Investors
US Department of Energy
2025-02-20Post Ipo Equity· $1.5B
2024-09-17Grant· $1.5M
2024-09-04Post Ipo Debt· $332.4M
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