Ombud
SaaS
SeniorFullStackAIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Full Stack AI Engineer at Ombud. Skills: Agentic AI platform, ML data engineering, Full-stack development. Build agentic AI platform. Build ML data engineering”
What You'll Achieve.
Ship first production PR; Develop codebase mental model; Take ownership of feature; Own feature end-to-end; Contribute to architectural decision; Drive roadmap piece; Establish trusted technical voice; Ship measurable improvements
Industry & Context.
Troubleshooting
On-call rotation capable
What They're Looking For.
Must Have
6+ years full-stack engineering, Production system ownership, Deep Python fluency, JavaScript / TypeScript / React competence, Hands-on LLM integration, Working knowledge RAG architectures, Fluency with Claude Code, Intuition for system design, Comfort operating small team, Bring problems with solutions, Willingness to be in-office
Nice to Have
Production experience LlamaIndex, Production experience LangChain, Production experience LangGraph, Experience designing evaluation pipelines, Vector database operations at scale, Browser extension development, Office add-in development, Open source contributions, Prior experience revenue operations, Prior experience sales enablement, Prior experience response management
What You'll Do.
Build agentic AI platform
Build ML data engineering
Own systems end-to-end
Operate without management layer
Work with platform engineer
Orchestrate production agents
Develop multi-step reasoning
Implement RAG architecture
Implement CAG architecture
Manage caching strategies
Develop evaluation pipelines
Measure response quality
Regression-test prompts
Ship LLM-dependent features
Develop self-service infrastructure
Automate customer onboarding
Automate content ingestion
Develop in-product setup
Deliver full-stack features
Own features through deployment
Monitor production systems
Handle customer incidents
Provide technical mentorship
How You'll Work.
Team & Collaboration
Small senior engineering team
Full Job Description
Location: Denver, CO (hybrid — Tue/Wed/Thu in office) Reports to: CEO The role We're hiring two senior full-stack engineers to build the next generation of Ombud's agentic AI platform. The work splits across two domains: building the agentic engine itself (LlamaIndex / agent orchestration / tool calling / evaluation pipelines) and the ML data engineering that supports it (embeddings, vector store operations, retrieval quality, RAG/CAG architectures). These are high-output IC roles. You will ship production code, own systems end-to-end, and operate without a layer of engineering management between you and the product direction. You will work directly with the CEO on architectural decisions and directly with the platform engineer on production deployment. We are not hiring engineering managers and we are not hiring junior engineers. What you'll own Ombuddy Native: our next-generation agentic platform replacing the existing Chrome extension. Production agent orchestration, tool design, multi-step reasoning workflows. RAG and CAG architecture: embeddings, retrieval, re-ranking, caching strategies. We use LlamaIndex and Qdrant today; we will evolve the stack as needed. LLM integration with Anthropic Claude (primary), with multi-model routing where it makes sense. Evaluation pipelines: how we measure response quality, regression-test prompts, and ship LLM-dependent features with confidence. Self-service infrastructure: customer onboarding flows, content ingestion automation, in-product setup experiences. Full-stack feature delivery across Python (primary backend), Node.js (legacy services), React (frontend), PostgreSQL, and Elasticsearch. Production operations: own your features through deployment, monitoring, and customer-facing incidents. Code review and technical mentorship within a small, senior engineering team. Must-haves 6+ years of professional full-stack software engineering experience, with demonstrated production system ownership. Deep Python fluency. JavaScrip
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