Principal Software Developer (Generative AI)

• Design, build, test, and operate generative AI features for a customer-facing platform.
• Develop conversational and agentic experiences that retrieve authorized information and produce grounded, explainable responses.
• Architect and implement RAG pipelines (ingestion, chunking, embeddings, indexing, hybrid retrieval, reranking, citations, freshness, permission-aware access).
• Build agent/tool interfaces with strong authorization, validation, retries/timeouts, and safe multi-step execution patterns.
• Integrate managed foundation models (including Amazon Bedrock) into Java/Spring services.
• Create automated evaluation suites and datasets (groundedness, retrieval relevance, citation accuracy, safety, regressions).
• Instrument end-to-end observability (latency, token usage, outcomes, failures) and support production readiness.
• Lead architecture/code reviews and mentor engineers while staying hands-on in production code.

• 12+ years professional software development experience (or equivalent combination of education/training/experience).
• Advanced Java with Spring/Spring Boot, REST APIs, microservices, distributed systems, and automated testing.
• Hands-on delivery of generative AI applications in a production or production-oriented environment.
• Practical experience designing RAG systems (embeddings, retrieval, context assembly, source attribution).
• Strong AWS experience and familiarity with Amazon Bedrock (or comparable managed model platform).
• Advanced SQL and experience with SQL Server and/or Amazon Redshift.
• Strong security mindset: authN/authZ, tenant isolation, least privilege, governance, responsible AI controls

Nice-to-Have

• Bedrock guardrails/agents; Claude via Bedrock; OpenSearch or pgvector.
• Datadog, GitHub Actions, Terraform, distributed tracing.
• Text-to-SQL/semantic modeling/natural-language analytics.