Forward Deployed Engineer - Applied AI

Banyan Software; United States; On-site; USD 140,000 - 180,000; Full time

Job summary

Banyan Software seeks a hands-on software engineer to build AI-powered features for MedicatOne, focusing on production code and HIPAA-compliant data handling. You will work closely with clinic customers and internal teams, shipping features rapidly and ensuring security and reliability.

You’ll balance 70% coding with 30% customer and team engagement, delivering robust, scalable software in a regulated healthcare context.

Qualifications

• 3+ years shipping production code in B2B SaaS.
• Proficient in at least one backend language (Python, C#/.NET or TS/Node).
• Hands-on LLM API experience: production features with OpenAI, Anthropic, Azure OpenAI.
• End-to-end system design including data flow, security and multi-tenancy.
• Strong SQL and data pipelines against relational databases.
• API design, authentication, webhooks and third-party integrations.
• Production engineering habits: Git, code reviews, automated tests, CI/CD, cloud deployment.
• Regulated or sensitive data (PHI/PII/financial) handling with access controls and audits.
• Ability to explain trade-offs to clinicians or analysts.
• Authorized to work in the US (no visa sponsorship).

Responsibilities

• Build and ship AI features end to end in MedicatOne; design, code, test and deploy.
• Choose simple, reliable solutions (LLM or plain code).
• Write services, SQL and data pipelines for PHI data movement.
• Deploy alongside customers as technical lead during implementation.
• Collaborate with internal teams to automate repetitive work.
• Ensure production quality with monitoring, latency, cost and accuracy checks.
• Implement HIPAA-compliant patterns for PHI handling and access controls.
• Review and productionize AI tools developed by others before touching customer data.
• Bring field learnings back as prototypes and technical recommendations.

Skills

3+ years as software engineer

Backend language proficiency

LLM API experience

End-to-end system design

SQL and data pipelines

API and integrations

Production engineering habits

Regulated or sensitive data experience

Ability to explain trade-offs

Authorized to work in the US

Tools

Azure

AWS

Git

CI/CD

Automated testing

Job description

Banyan Software is the best permanent home for software businesses that serve specialized industries, their employees, and their customers. With a buy-grow-and-hold-for-life approach and a permanent capital base, Banyan acquires and grows companies worldwide, honoring founder legacies and helping portfolio companies modernize through shared AI expertise and operational discipline. Founded in 2016, Banyan operates more than 120 portfolio companies across North and South America, Europe, and APAC, and has appeared on the Inc. 5000 list for six consecutive years. The Banyan Software Foundation, endowed with $100 million in Banyan stock, leverages technology to build a greener and more equitable world.

About the role

Medicat builds MedicatOne, the EHR used by college health and counseling centers across the US. Banyan Software acquires and grows vertical software companies like ours, and we're investing in AI that reaches clinicians and students in production.

This is an engineering role first. You will write production code most days: LLM integrations, automations, data workflows and the APIs that connect them to MedicatOne. You'll also sit close to our clinic customers and internal teams, turning what you see in their workflows into working software, often in days, not quarters.

If you're happiest owning a roadmap and writing specs for others to build, this isn't the role. If you want to be the person who ships the feature, debugs it with the customer on the call, and hardens it for HIPAA, keep reading.

What you'll do

Expect roughly 70% hands-on engineering and 30% embedded with customers and internal teams.

• Build and ship AI features end to end. Design, code, test and deploy LLM-powered features in MedicatOne: prompt design, tool calling, retrieval where it earns its place, and evaluation harnesses.
• Pick the simplest reliable solution. Sometimes that's an LLM, often it's plain code.
• Integrate with real clinical data. Write the services, SQL and data pipelines that move PHI safely between MedicatOne, customer systems and model providers.
• Deploy alongside customers. Join clinic implementation and discovery calls as the technical lead, scope what can be built, prototype against their data, and stay through go-live.
• Embed with internal teams. Find and automate repetitive work, and help analysts and developers get the most out of AI tools.
• Own production quality. Instrument, monitor and debug what you ship: latency, cost, accuracy and failure modes. Write evals so regressions are caught before customers see them.
• Make AI safe for healthcare. Implement HIPAA-compliant patterns for PHI handling, logging, access control, de-identification and vendor data boundaries.
• Harden internal tools. Review and productionize AI tools built by non-engineering teams before they touch customer data.
• Feed the roadmap with evidence. Bring back what you learned in the field as working prototypes and technical recommendations, not slide decks.

What you bring

• 3+ years as a software engineer shipping production code in B2B SaaS, with an individual-contributor track record. You still write code every week.
• Strong in at least one backend language (Python, C#/.NET or TypeScript/Node) and comfortable reading the others.
• Hands-on LLM API experience: you've shipped production features on LLM APIs (OpenAI, Anthropic, Azure OpenAI), including prompt design and function/tool calling, and you know when not to use one.
• End-to-end system design: you've designed a production system from the ground up, including data flow, security and multi-tenancy.
• Solid data skills: production SQL, schema design and data pipelines against relational databases.
• API and integration experience: REST API design, authentication, webhooks and third-party integrations.
• Production engineering habits: Git, code review, automated testing, CI/CD, and deploying to a major cloud (Azure or AWS).
• Regulated or sensitive data experience: you've built software that handles PHI, PII, financial or similarly protected data, with the access controls and audit trails it requires.
• Comfort with customers and colleagues: you can explain a technical trade-off to a clinic director or an analyst, then go build it.
• Authorized to work in and resides in the US; we can't sponsor visas.

Nice to have

• RAG, embeddings and vector databases (pgvector, Pinecone or similar), plus the judgment to know when retrieval is worth the complexity
• HL7 v2, FHIR or EHR integration experience (we can teach this)
• HIPAA experience specifically
• Prior Forward Deployed, Solutions Engineering or implementation-engineering experience at a software company
• LLM evaluation and observability tooling (e.g., LangSmith, Langfuse, custom eval suites)
• Agent frameworks or the Model Context Protocol (MCP)
• College health, student health or behavioral health software
• Open-source contributions or a public portfolio of shipped AI projects

Diversity, Equity, Inclusion & Equal Employment Opportunity at Banyan: Banyan affirms that inequality is detrimental to our Global Teams, associates, our Operating Companies, and the communities we serve. As a collective, our goal is to impact lasting change through our actions. Together, we unite for equality and equity. Banyan is committed to equal employment opportunities regardless of any protected characteristic, including race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, or protected veteran status and will not discriminate against anyone on the basis of a disability. We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, and job performance.

Recruitment Notice: Banyan Software may use artificial intelligence (AI) tools to assist in screening and/or assessing applicants during the recruitment process. All hiring decisions are made by our team. Personal information submitted through your application will be collected and used for recruitment purposes in accordance with applicable privacy laws. Contact us at any time with questions about our process or to request accommodation.