Data Scientist

Chumley is an early-stage tech startup building software that gives tradespeople the flexibility and tools they need to focus on their work, streamlining workflows and keeping more engineers operating at optimum levels. The team is small, ambitious, and focused on shipping practical, high-impact tools used in the field every day.

Chumley is looking for an AI Engineer to design, build, and ship the AI systems at the core of ChumleyOS. You will work end-to-end on agents, automations, and intelligent workflows that power real operations, from customer conversations and job dispatching to back-office tasks and field engineer support. This is a hands-on role where you'll move from prototype to production quickly and see your work used in the field every day.

What you'll be doing

• Building and deploying LLM-powered agents and workflows that automate real operational tasks across customer service, dispatch, and back-office functions.
• Designing and implementing RAG pipelines, tool use, function calling, and multi-agent orchestration.
• Integrating AI capabilities into the product, with deep connections to Salesforce, internal systems, and third-party APIs.
• Prototyping new AI features quickly, evaluating them rigorously, and shipping the ones that work.
• Building evaluation frameworks, prompt versioning, and observability so AI systems stay reliable in production.
• Working closely with the founder and engineering team to identify the highest-impact problems AI can solve.
• Staying close to the frontier, bringing in new models, techniques, and tools as the space evolves.

What we're looking for

• Hands-on experience building with LLMs, whether through OpenAI, Anthropic, open-source models, or all of the above.
• Strong software engineering fundamentals, with proficiency in Python and at least one of TypeScript, Node.js, or similar.
• Experience with RAG, vector databases, embeddings, and prompt engineering in production settings.
• Comfort with agent frameworks and tool use patterns (LangChain, LlamaIndex, custom orchestration, MCP, or equivalent).
• Good understanding of evaluation, guardrails, latency, cost, and the operational realities of running AI in production.
• Comfort working in a small, fast-moving startup, taking ownership from idea to deployment.

Nice to have

• Experience fine-tuning models, training embeddings, or working with open-source LLMs.
• Familiarity with Salesforce, CRM systems, or operations-heavy business software.
• Experience with voice AI, speech-to-text, or telephony integrations.
• Background in workflow automation, RPA, or no-code/low-code platforms.
• Previous work on tools for trades, field services, logistics, or other operations-heavy environments.
• Open-source contributions or side projects in the AI space we can look at.

What you'll get

• Real ownership over the AI layer of a product used daily by tradespeople and operations teams.
• The chance to shape AI architecture, tooling, and best practices at an early-stage startup.
• Close collaboration with founders and a small, senior team, with direct impact on roadmap and priorities.
• A role that combines frontier AI, real-world operations, and meaningful integrations to solve practical problems at scale.
• Budget for compute, tools, and the best models available.

If you enjoy building with AI, like shipping quickly, and want to use frontier tooling to solve real problems for real users, Chumley's AI Engineer role could be a great fit.