AI Engineer, Kumo

• Comfortable in an innovation pod or startup environment, moving quickly from idea → prototype → ship
• A tinkerer at heart who’s built full‑stack apps (frontend, backend, data) and lately has been hands‑on with the LLM tooling ecosystem
• Collaborative and easy to work with—you know how to partner with PMs/design/ML, bounce ideas, and get things done together.
• Bonus: experience as a Founding Engineer or early builder who has shaped product direction from the ground up
• 1+ years in ML/AI product development or software engineering (startup or fast-paced product teams)
• Hands-on with embeddings, vector databases, and RAG; practical experience evaluating retrieval quality
• Strong background in deep learning/transformers/foundation models and LLM orchestration (tool use, planning, memory)
• Experience with relational data & SQL; structured reasoning on business datasets
• Proficiency in Python and familiarity with data wrangling (Pandas, NumPy)
• Strong product sense and collaboration skills—comfortable working with PMs/design and iterating with users

Desirable

• With the launch of our new Kumo Relational Foundation Model (RFM), we’ve seen unprecedented interest from builders who want to create on top of our platform
• This is your chance to be part of that momentum
• You’ll be building applications and agentic workflows, demoing them to customers, and making core product and engineering decisions that shape the growth of our RFM offering
• This is an engineering role at its core, but you’ll also interface directly with customers, the broader builder community, and cross-functional engineering teams
• We’re looking for someone who thrives in that hybrid space—shipping product, representing engineering externally, and helping shape the direction of Kumo RFM from the ground up
• We’re hiring an AI/ML Engineer to design and build AI-powered, user-facing products on top of our RFM
• Understand a user’s goal and autonomously propose workflows for analysis, prediction, and optimization. Interact with enterprise systems and APIs, orchestrating tools and data
• Produce interpretable outputs that are easy to trust in real-world decisions
• Demo prototypes and apps to customers, iterating on feedback and incorporating real use cases
• You’ll work across product surfaces (UI/API), agent orchestration, data/infra, and model integration, collaborating tightly with product, design, ML research, and customers
• Design, implement, and deploy AI agents that assist data scientists on relational/SQL data and recommend next-best actions
• Build user-centric APIs and product surfaces (web/UI or programmatic) that make agentic workflows feel seamless and reliable
• Integrate Kumo’s Relational Foundation Model with enterprise data systems; contribute to tooling, retrieval, and guardrails
• Develop adaptive, multi-step workflows (LLM orchestration, tool use, feedback loops) that continuously refine outputs
• Ensure interpretability and evaluation: traceability of steps, confidence scoring, and human-in-the-loop review
• Collaborate with PM/design/ML research to turn ambiguous problems into shippable product; instrument, measure, iterate
• Demo your work to customers and community, serving as a visible builder and advocate for Kumo RFM
• Optimize for latency, cost, and reliability in production environments (serving, caching, tracing, observability)
• Builder mindset: you ship small, learn fast, and raise the bar with each iteration
• Team-first: crisp communication, lightweight docs, and pairing with PM/design/ML to de-risk quickly
• User-obsessed: you instrument everything, close the loop with customers, and let usage guide the roadmap
• Pragmatic about research: you know when to use existing models vs. when to push the frontier
• Success Looks Like (first 3-6 months)
• Ship a v1 agentic workflow powered by RFM that users adopt for a real analytics task (with instrumented evals & feedback)
• Demonstrate measurable improvements (accuracy/latency/cost/UX trust) via experiments and A/Bs
• Land 1–2 integrations with enterprise data systems or tooling; document runbooks and guardrails
• Deliver customer demos that inspire adoption and open new product opportunities