Quinte West, Ontario, Canada · Hybrid
Location: Denver, CO (hybrid — Tue/Wed/Thu in office) Reports to: CEO The role We're hiring a senior full-stack engineer to build the next generation of Ombud's agentic AI platform. The work splits across two domains: bu…
Skills: Python, JavaScript, TypeScript, React, LlamaIndex
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Build and own the next-generation agentic AI platform, focusing on agent orchestration, RAG/CAG architectures, and ML data engineering. Deliver full-stack features from backend Python services to React frontends while managing production deployment and monitoring.
Requires 6+ years of professional full-stack experience with deep Python fluency and proven production experience integrating LLMs. Must have strong system design intuition and be willing to work in-office three days a week in Denver.
We're hiring a senior full-stack engineer 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.
This is the engineering team that builds the actual product behind the agentic enterprise era. We use Claude as a teammate, not a feature checkbox. We deploy frequently, ship real customer value, and trust our engineers to operate as senior partners — not as cogs in a sprint. If you've been waiting for an environment where your AI fluency translates directly to product impact, this is it.
Ombud is a Denver-based B2B SaaS company building the agentic AI platform that powers Revenue Operations teams at enterprises like Workday, UKG, and Prudential. Our product, Ombuddy, automates the response work — RFPs, security questionnaires, proposals — that has historically eaten enterprise sales cycles. Our 2026 strategy is to extend this from response management into Orchestrated Revenue Operations: autonomous execution of the discrete sales processes that move revenue. Our 2035 BHAG is $1B ARR powering 80% of discrete B2B sales motions.
We run on EOS. We hire for output, not pedigree. We expect honesty over politeness, decisions over discussions, and execution over enthusiasm.
Transforming sales content 📝 into expertise 💡
Ombud enables companies to curate knowledge, collaborate, and automate the management and production of documents. Common use cases are responding to RFPs, DDQs, security questionnaires, and building statements of work. Spend less time on manual, redundant tasks and more time doing what you do best. Tactical and repetitive responses to RFPs, DDQs, and other customer questionnaires takes a lot of time. Ombud is the only knowledge management platform that automates these tasks, giving your team more time to focus on the customer. Ombud uses a combination of machine learning, user activity, opportunity data, and natural language processing to generate perfect enterprise proposal and questionnaire responses in half the time.
Offices: 2100 N Downing St, Second Floor, Denver, Colorado 80205, US
Transforming sales content 📝 into expertise 💡
Ombud enables companies to curate knowledge, collaborate, and automate the management and production of documents. Common use cases are responding to RFPs, DDQs, security questionnaires, and building statements of work. Spend less time on manual, redundant tasks and more time doing what you do best. Tactical and repetitive responses to RFPs, DDQs, and other customer questionnaires takes a lot of time. Ombud is the only knowledge management platform that automates these tasks, giving your team more time to focus on the customer. Ombud uses a combination of machine learning, user activity, opportunity data, and natural language processing to generate perfect enterprise proposal and questionnaire responses in half the time.
Offices: 2100 N Downing St, Second Floor, Denver, Colorado 80205, US
