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.
Forward Deployed Engineer, Applied AI
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 doExpect 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.
- 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.
- 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.
Please Note: Banyan Software does not accept unsolicited resumes or applications submitted via email, LinkedIn, or other direct channels. All candidates must apply through our official Careers site to be considered for employment. Applications submitted outside of our applicant tracking system will not be reviewed.
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Skills Required
- 3+ years of experience as a software engineer shipping production code in B2B SaaS
- Individual-contributor track record with ongoing weekly coding
- Strong proficiency in at least one backend language: Python, C#/.NET, or TypeScript/Node
- Comfort reading Python, C#/.NET, and TypeScript/Node
- Production experience with LLM APIs, including prompt design and function or tool calling
- Experience designing production systems, including data flow, security, and multi-tenancy
- Production SQL, relational database schema design, and data pipelines
- REST API design, authentication, webhooks, and third-party integrations
- Experience with Git, code review, automated testing, CI/CD, and Azure or AWS deployment
- Experience building software that handles PHI, PII, financial, or similarly protected data with access controls and audit trails
- Ability to explain technical trade-offs to customers and colleagues
- Authorized to work in and residing in the United States
- Experience with 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 at a software company
- LLM evaluation and observability tooling experience, such as LangSmith, Langfuse, or custom evaluation suites
- Experience with agent frameworks or the Model Context Protocol
- College health, student health, or behavioral health software experience
- Open-source contributions or a public portfolio of shipped AI projects
Banyan Software Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Banyan Software and has not been reviewed or approved by Banyan Software.
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Healthcare Strength — Health coverage includes comprehensive medical, dental, and vision, with indications of an established U.S. carrier relationship. This points to mainstream plan depth and reliable access to core care.
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Parental & Family Support — Paid parental leave is explicitly provided for new parents. This offers dedicated time and support during family transitions.
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Wellbeing & Lifestyle Benefits — Programs include a Learning & Development fund, two annual volunteer days, and an employee relief program for unexpected hardships. These elements extend support beyond base pay into growth, community, and resilience.
Banyan Software Insights
What We Do
Banyan Software provides the best permanent home for successful enterprise software businesses, their employees, and customers to preserve the legacy of founders, while helping grow the business into the future. We are on a mission to acquire, build and grow great software businesses that have dominant positions in niche markets all over the world. Today Banyan has over 750 employees throughout the US, Canada, UK, Europe, Australia and New Zealand. Founded in 2016 with permanent capital to preserve the legacy of founders, Banyan focuses on a buy, hold and grow for life strategy. For more information on Banyan Software, Inc. visit: http://www.banyansoftware.com What We Look For: - Great enterprise software businesses that have dominant positions in niche markets - We work with owners who are thinking about an exit today or further down the road - We are flexible and can be creative when we find a business that is a good fit - The businesses in the Banyan family all share a similar profile: - Annual revenues in excess of $2M-$30M - A high percentage of recurring revenue - Positive operating margins and cash flow - High customer retention and satisfaction - Happy and committed employees
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