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Siemens Digital Industries Software · 3 days ago

Agentic Developer – AI Development & Enablement

Bellevue, WA

Full-time

Hybrid

Mid, Senior Level

4+ years exp

Siemens Digital Industries Software is focused on empowering development teams through agentic AI capabilities. The Agentic Developer will design and build frameworks and tools to enhance developer productivity and ensure secure, reliable code generation and workflows.

Computer Software

Culture & Values

No H1B

U.S. Citizen Only

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

PythonGenAI stacksAPISDK designCI/CD integrationError analysisBehavior-driven designSecurityComplianceDeveloper enablement mindsetCollaborationDocumentation excellence

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