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Mid level
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Full-time
Posted 12d ago
~40 hrs/week
Responsibilities
Develop and scale an agentic platform at the intersection of medicine and law to transform complex casework into actionable context. Responsibilities include building agent architectures, designing evaluation frameworks, and iterating on user interfaces based on direct feedback.
Requirements
Seeking a generalist software engineer who prioritizes correctness and reliability when working with frontier AI models. Candidates must be able to own problems end-to-end and ship high-quality code quickly without detailed specifications.
Full job description
We help physicians to achieve independence by making it easier to start, operate, and grow their practices. We believe that the future of healthcare will not come from bureaucratic health care systems, but individual physicians. We are reducing the barriers for physicians to own their practice and make healthcare better for everyone.
We're a small team obsessed with deep thinking, speed, craftsmanship, and a customer-focused approach, committed to building the best care experience in healthcare with a 30-year horizon.
Our team has built and launched numerous products from 0-to-1, scaled startups from 10 to 300+ employees and from inception to over $1B in valuation, $60M+ ARR, and 100M+ MAU.
We are a group of technologists, physicians, engineers, and designers that are uniquely positioned to design and distribute the product in the healthcare industry.
The Role
We're building an agentic platform at the intersection of medicine and law, transforming complex, high-stakes casework into structured, actionable context. Our system handles patient records, legal workflows, and sensitive decisions, so reliability, clarity, and thoughtful engineering matter deeply.
As a software engineer, you'll work across the full stack: agent architectures, evals, the data and context that feed them, and the surfaces to interact with the platform and its harness.
In a given week, that might mean
building and shipping a new workflow that takes over a step of the case process, driven by something a physician or our ops team flagged
designing the eval framework that decides whether an agent's output is reliable enough to ship, while piping the feedback into our synthesized knowledge base
improving how the platform ingests, indexes, and assembles the right case context for an agent to work from
adding new tooling to the interfaces users interact with day to day, bringing more of the platform's context and agent capabilities into their workflow
iterating quickly on a feature with direct input from users, refining the agents based on real-world usage and feedback
setting the patterns and tooling for AI-native development that the rest of the team builds on
You'll be a great fit if you
engineer for correctness and reliability, not just functionality
are excited to work with frontier models, and care as much about the evals and guardrails around them as the models themselves.
ship high-quality code fast, and can take a vague problem to a shipped solution without a spec.
own problems end-to-end, from the agent logic to the interface a user actually uses.
care about craft and the gap between something that works and something genuinely good to use.
want to play long-term games with long-term people. We're building for a 30-year horizon, not a quick exit.
Traction / PMF
We have strong product-market fit ($10MM+ ARR in under 14 months).
We are profitable and funded by top-tier VCs in the healthcare vertical.
We are looking for a generalist to work together to scale to hundreds of customers. You'll fit in if you want to take ownership of a product, codebase, or company from 1 to 100.
Embedding is an early-stage VC
(venture capital && vibe coding) firm backing the future of AI.
Industry
Venture Capital and Private Equity Principals
Company size
2-10 employees
Founded
2023
Headquarters
Menlo Park, CA
LinkedIn followers
2,172
Embedding VC is an early-stage venture fund backing Generative AI startups. All our investors are current and former builders and operators. We believe in the mission to develop AGI, and we are at the onset of a new computing super cycle, fundamentally driven by AI innovations.
Offices: Menlo Park, CA, US · Los Angeles, CA, US
AI and StartupImpact InvestingArtificial Intelligence (AI)
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