Senior Lead GenAI Engineer
Triune Infomatics Inc. is a privately held IT staffing and consulting company providing IT consulting, staffing, disability staffing, executive search, and AI-related consulting and talent services.
About Triune Infomatics Inc.
Founded in 2005, Triune Infomatics Inc. is a Pleasanton, California-based technology staffing and consulting company. Its current website offers client contact and job-application interactions, including active contract openings; its stated core business is staffing and consulting rather than a dedicated robotics product or service.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will architect and build a stateful headless GenAI application for grounded, personalized content creation. You will design multi-agent orchestration, APIs, structured outputs, integrations, streaming interfaces, evaluation and observability capabilities, and critical production code while reviewing other engineers’ work.
Requirements
- Significant hands-on experience architecting and building production GenAI applications
- Python or TypeScript software engineering and microservices experience
- Experience with stateful multi-turn and multi-agent orchestration
- API-first architecture and structured-contract design experience
- Experience building headless services with structured outputs
- Experience integrating GenAI applications with enterprise platforms, data services, and content repositories
- Experience with RAG, grounding, application state, memory, evaluations, and production observability
- Experience building streaming multi-turn GenAI interfaces
- Ability to establish coding patterns, make technical decisions, review engineers’ work, and produce production code
- AWS, Amazon Bedrock, and AgentCore experience
Responsibilities
- Design and build a stateful headless GenAI application
- Propose architecture and make key technical decisions
- Build multi-agent orchestration and multi-turn application flows
- Design API-first architectures and structured contracts
- Integrate GenAI applications with enterprise platforms, data services, and content repositories
- Build RAG, grounding, memory, evaluation, and observability capabilities
- Build streaming interfaces with clarification flows, conversation history, and error handling
- Render structured responses including tables, charts, citations, and reusable results
- Establish coding patterns, review engineers’ work, and produce production code