Context engineer (CTO FA)
Indexed description
The role
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.
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.
What You’ll Do
- Audit how Lucis uses AI today: What works, what breaks, where it is risky, and where it can be 10x better.
- 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 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.
- 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.”
- 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.
- Intro call (20 min): culture & role fit.
- Technical interview (30 min)
- At-home case study: hands-on project, delivery in 2 days.
- Deep dive (90 min) and team chat (on-site)
- Reference calls
- Rigor without ego: Audits, science, and code all deserve the same high bar.
- Radical ownership: Feedback loops are short; everyone contributes to building the best version of Lucis.
- Velocity over perfection: We ship daily and prefer a good decision today over a perfect one next week.
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