Senior Software Engineer

· Own backend architecture for a shared GenAI content-generation platform used by multiple internal products.

· Design multi-tenant patterns (config isolation, data segmentation, policy enforcement) and clean service interfaces.

· Implement LLM orchestration pipelines for high-quality document/report generation (templating, context selection, post-processing).

· Build or integrate retrieval components (semantic search/RAG, vector stores) suitable for regulated environments.

· Partner with stakeholders to ensure security-by-design, auditability, and operational excellence.

· 8+ years of software engineering experience; Python is your primary language.

· Built and shipped a multi-tenant platform in production (GenAI platform experience strongly preferred).

· Strong AWS experience (architecture + implementation).

· Hands-on experience with at least one: RAG/semantic search, document-generation pipelines, multi-agent systems.

· Experience delivering LLM-enabled systems in regulated or highly controlled enterprise environments.

Nice to have:

· Experience with private model hosting / in-VPC model endpoints.

· Familiarity with Bedrock/SageMaker or comparable model hosting patterns.

· Experience building internal developer platforms (SDKs, templates, CI/CD scaffolding).

How success will be measured (high level):

· A clear, pragmatic architecture and "golden path" for downstream teams (design doc + reference implementation).

· A production-ready, multi-tenant platform MVP that supports at least one end-to-end use case.

· Reusable building blocks for retrieval (RAG/semantic search), orchestration, guardrails, and output post-processing.

· Operational readiness: logging/metrics/tracing, dashboards, alerting, deployment pipeline, and runbooks.