Forward Deployed Engineer
- LocationUS
- Work typeRemote
- Salary210k to 270k USD a year
- Posted10 November 2026
- SourceMachinify's careers page (Greenhouse)
Live checkFirst seen 2 h ago; still listed on Machinify's careers page 27 min ago.
At a glance
- Experience3+ years
- Skills and toolsPython, TypeScript
Read from the ad by RoleFinder, with rules and an AI reading; the description is the source.
About the role
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
- p]:inline" data-streamdown="list-item">Embed with customers to discover requirements, design solutions, and deliver end-to-end implementations of our AI platform in production
- p]:inline" data-streamdown="list-item">Build custom integrations, agents, RAG pipelines, tool-use systems, and workflow automation that fit customer systems, data, and processes
- p]:inline" data-streamdown="list-item">Own the technical delivery cycle: scoping, architecture, coding, testing, deployment, and handoff — often working directly alongside customer teams
- p]:inline" data-streamdown="list-item">Translate customer problems into production-grade systems using foundation models, retrieval, structured outputs, and orchestration
- p]:inline" data-streamdown="list-item">Drive adoption and expansion by making the product successful in the wild; surface patterns and feedback that improve the core platform
- p]:inline" data-streamdown="list-item">Handle the unglamorous production realities: authentication, data pipelines, latency, reliability, security reviews, and operational handoffs
- p]:inline" data-streamdown="list-item">Partner with product, research, and solutions teams to influence the roadmap based on what you see in the field
What we're looking for
- p]:inline" data-streamdown="list-item">3+ years of software engineering experience, with demonstrated ability to ship production systems (not just prototypes)
- p]:inline" data-streamdown="list-item">Strong Python and TypeScript; comfortable reading and writing real codebases under time pressure
- p]:inline" data-streamdown="list-item">Practical experience integrating AI/LLM systems (RAG, agents, function calling, structured generation, embeddings, vector search) into existing environments
- p]:inline" data-streamdown="list-item">Customer-facing technical work: consulting, solutions engineering, implementation, professional services, or similar roles where you owned delivery
- p]:inline" data-streamdown="list-item">Ability to operate independently in ambiguous, high-stakes environments and communicate clearly with both technical and non-technical stakeholders
- p]:inline" data-streamdown="list-item">Cost-, latency-, and reliability-aware — you know how to make systems production-ready, not just impressive in a notebook
- p]:inline" data-streamdown="list-item">Comfortable with travel or on-site work when needed to unblock customers
Nice to have
- p]:inline" data-streamdown="list-item">Experience with agent frameworks, MCP, or custom orchestration (LangGraph, Temporal, etc.)
- p]:inline" data-streamdown="list-item">Background in data engineering, infrastructure, or systems integration
- p]:inline" data-streamdown="list-item">Prior work at a company that sold complex software platforms (AI, data, developer tools, enterprise software)
- p]:inline" data-streamdown="list-item">Experience with security, compliance, or red-teaming considerations in customer deployments
- p]:inline" data-streamdown="list-item">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/
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