Context engineer (CTO FA)
Role details
Job location
Tech stack
Job description
Over the last year, AI went from "helpful tool" to something closer to a new kind of teammate: capable of drafting, coding, analyzing, and operating across many steps when given the right context and guardrails.
We think the next step-function in startup speed will come from teams that operationalize AI well:
- Not one-off prompts.
- Not a few power users.
- But repeatable workflows that the whole company trusts and actually adopts.
This role exists to make that real at Lucis.
We are hiring a Context Engineer / Applied AI associate to make Lucis meaningfully faster and higher quality by embedding AI into how we work. This is a direct line of contact with the CTO, thus also referred to as technical founder associate.
This is not a pure research role. It is an enablement + systems role:
- You will find high-leverage workflows across teams.
- Turn them into repeatable playbooks and lightweight internal products.
- Put measurement in place.
- Build guardrails so the outputs are reliable, safe, and trustworthy.
You will partner closely with Product, Engineering, Operations, Growth, and Clinical, and report to the CTO., * Ship a Lucis AI playbook: Prompt patterns, examples, do's and don'ts, safety guidance, and "how we know it works."
- Roll out 5-10 high-leverage workflows: Across engineering, product spec, support ops, growth, and clinical content.
- Build lightweight internal tools: Automations, scripts, small apps, or integrations that remove repetitive work.
- Measure impact: Adoption, time saved, and quality improvements. You care about "before/after," not vibes.
- Increase reliability and trust: Guardrails, evaluations, and practical safety practices around sensitive data., * You'll work on a mission that matters: helping people take control of their health through better information and guidance.
- You'll have leverage across the whole company: your work changes how everyone ships.
- You'll help define our AI operating system from early days.
Requirements
You're passionate about the future of human health and want your work to help people stay healthy for longer. You move quickly from idea to execution, take full ownership of what you build, and work best with talented people who care as much as you do.
You thrive in fast-moving environments, learn by doing, and value feedback as a way to continuously improve.
You'll fit in well if
- Have 3-6+ years in product engineering, platform/devex, technical enablement, or applied AI, with clear evidence of shipped outcomes.
- Are a power user of modern AI tools (Claude, ChatGPT, Cursor, Copilot, v0, etc.) and can explain when they fail and what you do about it.
- Can prototype quickly and ship small improvements weekly.
- Have strong enablement instinctsYou can teach, write clearly, and drive adoption with technical and non-technical teammates.
- Are pragmatic and impact-drivenYou optimize for workflows people use and trust, not novelty.
Bonus points if you
- Have built internal tooling that others rely on day-to-day.
- Have experience with LLM patterns (prompting, RAG, tool calling, agents) and evaluation approaches.
- Have worked in environments with real constraints around data handling, security, or compliance.
- Enjoy being the person who turns "fuzzy" into "shippable."