Machinify

AI-driven healthcare operations optimization platform

Forward Deployed Engineer

AI Application EngineeringUpdated on Nov 11

Full-timeRemote in USA

About the Job

Requirements

At least 3 years of software engineering experience, with demonstrated ability to ship production systems rather than only prototypes.
Strong Python and TypeScript skills, including comfort reading and writing real codebases under time pressure.
Practical experience integrating AI and large language model systems—including retrieval-augmented generation, agents, function calling, structured generation, embeddings, and vector search—into existing environments.
Customer-facing technical work in consulting, solutions engineering, implementation, professional services, or similar roles where the candidate owned delivery.
Ability to operate independently in ambiguous, high-stakes environments and communicate with technical and non-technical stakeholders.
Cost-, latency-, and reliability-aware production engineering experience.
Comfort with travel or on-site work when needed to unblock customers.

Responsibilities

Embed with customers to discover requirements, design solutions, and deliver end-to-end implementations of the AI platform in production.
Build custom integrations, agents, retrieval-augmented generation pipelines, tool-use systems, and workflow automation suited to customer systems, data, and processes.
Own the technical delivery cycle, including scoping, architecture, coding, testing, deployment, and handoff, often working directly alongside customer teams.
Translate customer problems into production-grade systems using foundation models, retrieval, structured outputs, and orchestration.
Drive product adoption and expansion by making the product successful in customer environments, and surface patterns and feedback to improve the core platform.
Address production requirements including authentication, data pipelines, latency, reliability, security reviews, and operational handoffs.
Partner with product, research, and solutions teams to influence the roadmap based on field observations.

Desired Qualifications

Experience with agent frameworks, MCP, or custom orchestration such as LangGraph or Temporal.
Background in data engineering, infrastructure, or systems integration.
Prior work at a company that sold complex software platforms, such as AI, data, developer tools, or enterprise software.
Experience with security, compliance, or red-teaming considerations in customer deployments.
Contributions to open-source tooling or public technical writing about applied AI.

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.

We're hiring a Forward Deployed Engineer to make our AI products actually work inside customer environments. You'll live at the seam between our platform and the real world — embedding with customers to scope, build, and ship production solutions that turn models and tools into business outcomes. Less “demo the product,” more “get it running reliably on their data, in their stack, under their constraints.”

What you'll do

Embed with customers to discover requirements, design solutions, and deliver end-to-end implementations of our AI platform in production
Build custom integrations, agents, RAG pipelines, tool-use systems, and workflow automation that fit customer systems, data, and processes
Own the technical delivery cycle: scoping, architecture, coding, testing, deployment, and handoff — often working directly alongside customer teams
Translate customer problems into production-grade systems using foundation models, retrieval, structured outputs, and orchestration
Drive adoption and expansion by making the product successful in the wild; surface patterns and feedback that improve the core platform
Handle the unglamorous production realities: authentication, data pipelines, latency, reliability, security reviews, and operational handoffs
Partner with product, research, and solutions teams to influence the roadmap based on what you see in the field

What we're looking for

3+ years of software engineering experience, with demonstrated ability to ship production systems (not just prototypes)
Strong Python and TypeScript; comfortable reading and writing real codebases under time pressure
Practical experience integrating AI/LLM systems (RAG, agents, function calling, structured generation, embeddings, vector search) into existing environments
Customer-facing technical work: consulting, solutions engineering, implementation, professional services, or similar roles where you owned delivery
Ability to operate independently in ambiguous, high-stakes environments and communicate clearly with both technical and non-technical stakeholders
Cost-, latency-, and reliability-aware — you know how to make systems production-ready, not just impressive in a notebook
Comfortable with travel or on-site work when needed to unblock customers

Nice to have

Experience with agent frameworks, MCP, or custom orchestration (LangGraph, Temporal, etc.)
Background in data engineering, infrastructure, or systems integration
Prior work at a company that sold complex software platforms (AI, data, developer tools, enterprise software)
Experience with security, compliance, or red-teaming considerations in customer deployments
Contributions to open-source tooling or public technical writing about applied AI

What we offer

Work from anywhere in the US! Machinify is digital-first.
Top Medical/Dental/Vision offerings
FSA/HSA
Tuition reimbursement
Competitive salary, 401(k) with company match
Unlimited PTO
Additional health and wellness benefits and perks
Flexible and trusting environment where you’ll feel empowered to do your best work

The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels and the base salary can range from $210k-$270k+ based on your assessed level. Compensation also includes meaningful equity, healthcare, unlimited PTO, and more.

Equal Employment Opportunity at Machinify

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

About the Company

Machinify

AI-driven healthcare operations optimization platform

Machinify uses artificial intelligence to optimize decision-making in healthcare. It provides AI-driven applications that improve operational efficiency for health plans, payers, and providers, acting as a central nervous system to manage data-driven decisions. Its products streamline processes like claims processing and utilization management by deploying a growing portfolio of applications on the Machinify platform, designed for fast implementation and immediate ROI. Differences from competitors include an AI-first platform tailored to healthcare administration, a rapid deployment model, and a customer-focused approach that aims to deliver tangible results quickly. The company’s goal is to transform healthcare administration by reclaiming control over healthcare expenditures and improving efficiency and patient outcomes through data-driven decisions.

Company size: 1,001-5,000
Company stage: Series A
Total funding: $15.6M
Headquarters: Palo Alto, CA
Founded: 2016

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