Forward Deployed Engineer (Applied AI)

Location: United States. Must reside in and be authorized to work in the US; visa sponsorship is not available.

Company

Medicat builds MedicatOne, an EHR used by college health and counseling centers across the US, within Banyan Software's portfolio of specialized vertical software companies.

What you will do

• Design, code, test, and deploy LLM-powered features in MedicatOne, including prompt design, tool calling, retrieval, and evaluation harnesses.
• Build services, SQL, and data pipelines that safely move PHI between MedicatOne, customer systems, and model providers.
• Lead technical discovery and implementation calls with clinic customers, prototype against their data, and support go-live.
• Identify and automate repetitive work for internal teams and productionize AI tools built by non-engineering teams.
• Monitor and debug production systems for latency, cost, accuracy, and failure modes; create evaluations to catch regressions.
• Implement HIPAA-compliant PHI handling, logging, access control, de-identification, vendor data bouhirify.globalries, and production-quality integrations.

Requirements

• 3+ years as a software engineer shipping production code in B2B SaaS, with an individual-contributor track record and weekly hands-on coding.
• Strong proficiency in at least one backend language: Python, C#/.NET, or TypeScript/Node; comfortable reading the others.
• Production experience with LLM APIs such as OpenAI, Anthropic, or Azure OpenAI, including prompt design and function/tool calling, with judgment about when not to use an LLM.
• Experience designing production systems end to end, including data flow, security, and multi-tenancy.
• Production SQL, relational database schema design, and data pipeline experience.
• REST API design, authentication, webhooks, and third-party integrations.
• Git, code review, automated testing, CI/CD, and deployment to Azure or AWS.
• Experience handling PHI, PII, financial, or similarly protected data with required access controls and audit trails.
• Ability to explain technical trade-offs to clinic directors or analysts and then build the solution.
• Must reside in and be authorized to work in the United States; visa sponsorship is unavailable.

Nice to have

• RAG, embeddings, and vector databases such as pgvector or Pinecone.
• HL7 v2, FHIR, or EHR integration experience.
• HIPAA experience, Forward Deployed, Solutions Engineering, or implementation-engineering experience.
• LLM evaluation and observability tooling such as LangSmith, Langfuse, or custom evaluation suites.
• Agent frameworks or the Model Context Protocol (MCP).
• College health, student health, or behavioral health software experience.
• Open-source contributions or a public portfolio of shipped AI projects.

Culture & Benefits

• Approximately 70% hands-on engineering and 30% embedded work with customers and internal teams.
• Production-focused individual-contributor role emphasizing shipped software rather than writing specifications for others.
• Work directly with clinic customers and internal teams to turn observed workflows into software.
• Inclusive workplace committed to equal employment opportunities and accessibility.

Hiring process

• Apply through Banyan Software's official Careers site; applications submitted by email, LinkedIn, or other direct channels will not be reviewed.
• AI tools may assist with applicant screening or assessment, while hiring decisions are made by the hiring team.