Forward-deployed AI engineer, Healthcare → San Francisco · Brazil · Spain · Poland · Remote

Joinplank; Brasil; Remote; BRL 180,000 - 280,000; Full time

Job summary

Plank is placing forward-deployed engineers inside healthcare teams to move AI from prototype to production where patient data, clinical workflows, and reliability matter. You will own delivery end to end, often on-site, across OpenAI, Anthropic, and other models.

You will write production-grade code, build agents and RAG pipelines, and serve as the technical owner collaborating with healthcare domain experts and leadership.

Qualifications

• 4–10 years of engineering experience, customer-facing or deployment preferred.
• Proficient in Python; TypeScript is a strong plus.
• Hands-on production experience with LLMs: prompt engineering, agent development, evals, RAG, deployment at scale.
• Ability to scope complex systems and work with cloud, data pipelines and enterprise environments.
• Strong communication and stakeholder management, and comfort with ambiguity.
• Interest or experience in healthcare: clinical workflows or patient data.

Responsibilities

• Embed with a customer team, often on-site, and own delivery end to end: discovery, technical scoping, system design, build, and production rollout.
• Drive solutions from a 0 to 1 prototype through MVP to scale, writing and reviewing production-grade code across the stack.
• Build the hard parts hands-on: agents and sub-agents, MCP servers, RAG pipelines, evals, and integrations against real systems of record.
• Be the primary technical owner of the engagement, partnering with the customer's engineers, domain experts, and leadership.
• Codify what works into reusable building blocks, playbooks, and repeatable deployment patterns.
• Bring the field back to product: surface deployment friction and eval-driven signal that sharpens what gets built next.
• Integrate with clinical and healthcare systems, and handle patient data with the privacy and compliance the domain demands.

Skills

Python

TypeScript

LLMs

Agent development

Evals

RAG

System design

Cloud

Data pipelines

Stakeholder management

Healthcare knowledge

Tools

OpenAI

Anthropic

Job description

Plank places forward-deployed engineers inside healthcare teams to take AI from prototype to production where the stakes are real: clinical workflows, patient data, and the reliability the domain demands. Plank already ships voice AI for Spanish-speaking patients at Rosette Health, and AI coaching trusted by Stanford and Duke Medicine at Fitmate. You own delivery end to end, vendor-neutral across OpenAI, Anthropic, and open models.

What you will do

• Embed with a customer team, often on-site, and own delivery end to end: discovery, technical scoping, system design, build, and production rollout.
• Drive solutions from a 0 to 1 prototype through MVP to scale, writing and reviewing production-grade code across the stack.
• Build the hard parts hands-on: agents and sub-agents, MCP servers, RAG pipelines, evals, and integrations against real systems of record.
• Be the primary technical owner of the engagement, partnering with the customer's engineers, domain experts, and leadership.
• Codify what works into reusable building blocks, playbooks, and repeatable deployment patterns.
• Bring the field back to product: surface deployment friction and eval-driven signal that sharpens what gets built next.
• Integrate with clinical and healthcare systems, and handle patient data with the privacy and compliance the domain demands.

What we are looking for

• 4 to 10 years of engineering experience, ideally customer-facing or in deployment; former founders welcome.
• You write and review production-grade code across frontend and backend, with Python as a baseline and TypeScript a strong plus.
• Hands-on production experience with LLMs: prompt engineering, agent development, evals, RAG, and deployment at scale.
• A track record of scoping and shipping complex systems, and comfort with cloud, data pipelines, and enterprise environments.
• High agency and comfort with ambiguity: you turn vague business problems into concrete technical plans and own the outcome.
• Strong communication and stakeholder management, from technical discovery to the executive relationship.
• Interest or experience in healthcare: clinical workflows, patient data, or compliance such as HIPAA.

Nice to have

• Experience with healthcare data standards such as HL7 or FHIR, or other regulated environments.