Tech Lead, Applied AI at Abby Care
San Francisco, CA
$230,000–$270,000
Jul 27, 2026
San Francisco, CA
Jul 28, 2026
What this job asks for AI summary
An Applied AI Technical Lead role at a healthcare startup building an AI-native platform for home-based family caregiving. The person in this role will own the technical strategy and hands-on delivery for a major AI domain — designing and shipping agentic systems that automate complex healthcare workflows such as intake qualification, clinical document interpretation, and prior authorization. It suits an experienced engineer-leader who can set technical direction, mentor a team, and remain deeply involved in architecture and implementation.
Senior level · 8+ years · San Francisco-Oakland-Berkeley, CA · Full-time
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How this req sits in the market our data
Roughly 260 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (software developers). range 75–390
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $190,744 (middle half $167,095–$224,501).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The title 'Applied AI Technical Lead' carries no explicit seniority level word, so the title states no level; however, the 8+ years requirement and end-to-end technical ownership of a domain support a Senior classification.
The role is described as a 'senior individual-contributor leadership role' — it involves mentoring engineers and setting technical direction but does not appear to carry formal people-management (hiring, performance reviews, budget) responsibilities, so Software Developers (15-1252) is preferred over Computer and Information Systems Managers (11-3021); Data Scientists (15-2051) is noted as a runner-up given the ML/AI modeling emphasis.
No compensation figures are stated beyond 'competitive compensation packages.'
The posting requires physical presence in the San Francisco Bay Area four days per week; it is not a remote role.
'Agent architectures', 'retrieval', 'tool use', 'structured outputs', and 'evaluation' are listed together in the requirements section as a single compound requirement — each has been extracted as a separate named capability where a canonical tool/concept name exists.
'Tool use' and 'orchestration' as described in the posting are captured under agent architectures and workflow engines respectively, as they name no specific product.
Post-training is mentioned in Preferred Qualifications alongside fine-tuning; it is subsumed under fine-tuning as the same capability.
Read the full posting
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