Senior Forward Deployed Engineer - Wellness

Who is Recruiting from Scratch: Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.Senior Forward Deployed Engineer - WellnessLocation: New York, NY / Boston, MA / Chicago, IL / Texas / Remote within the U.S.Company Stage of Funding: Growth-Stage / Well-FundedOffice Type: Remote - Eastern or Central time zones preferred; quarterly team offsites in New YorkSalary: $170,000 - $205,000 + OTE of $190,000 - $240,000Equity: Competitive EquityVisa: No visa sponsorship or transfers - U.S. Citizens / Green Card holders onlyTravel: Quarterly team offsites in New York and occasional customer-facing travel as neededCompany DescriptionOur client is a high-growth healthcare AI company building predictive and AI-powered systems for major health systems, health plans, and wellness organizations.The company has grown rapidly, doubling revenue from $55M to $116M ARR in 2025 and continuing to scale toward $200M in annual revenue. With over $50M in funding and a team of approximately 100+ employees across the U.S. and Israel, the company is operating at significant scale while maintaining an entrepreneurial, ownership-driven culture.The platform combines machine learning, data infrastructure, AI agents, predictive models, and enterprise integrations to power real-world healthcare and wellness workflows.This is an opportunity to join a highly technical application engineering team where engineers own customer solutions end-to-end - from pre-sales and technical discovery through architecture, implementation, deployment, and ongoing iteration.The role combines software engineering, solutions architecture, AI/ML, data engineering, and customer-facing technical delivery.What You Will DoOwn full technical delivery for wellness clients from pre-sales through production deploymentBuild technical demos and prototypes that demonstrate the platform’s capabilities to prospective customersWork directly with customer technical and data teams to gather requirements and understand existing workflowsLead technical discovery and design sessions with customer stakeholdersDesign end-to-end system architectures for complex enterprise and wellness use casesCreate architecture diagrams and clearly communicate technical tradeoffsBuild and deploy customer-facing software systems into productionArchitect and build AI agents and intelligent applications using the company’s platformIntegrate with customer CRMs, wellness applications, and other enterprise systemsBuild data ingestion pipelines across structured and unstructured data sourcesDevelop ETL/ELT pipelines and data-processing workflowsWork with heterogeneous datasets and complex enterprise data environmentsBuild machine learning and AI-powered workflows for customer use casesImplement LLM-powered systems including prompt engineering, function calling, structured outputs, guardrails, and observabilityWork with APIs, databases, cloud infrastructure, and real-time systemsPartner closely with customer engineering and data teams during implementationTroubleshoot integration, architecture, and production issuesOwn systems from initial requirements through testing, deployment, and iterationFeed customer learnings and recurring patterns back into the core productInfluence product direction based on real-world customer requirementsMake architectural and technical decisions with significant autonomyWork across multiple technical disciplines including application engineering, data, AI, and infrastructureOperate effectively in a fast-moving, entrepreneurial environmentTake ownership of complex technical problems without requiring detailed instructionsRepresent the company professionally with technical and executive customer stakeholdersIdeal Candidate BackgroundExperience Requirements5-15 years of professional software engineering experienceStrong experience building and deploying customer-facing software systemsExperience owning technical delivery from discovery and scoping through production deploymentExperience working across pre-sales, technical discovery, implementation, and post-sale integrationExperience building complex systems end-to-end rather than only prototyping or scoping solutionsExperience working directly with customer technical teamsExperience in production engineering, solutions engineering, solutions architecture, or technical consulting with strong hands-on engineering experienceExperience working in startups or high-growth technology companies strongly preferredFounding engineer, startup CTO, or early engineering experience is a strong plusHealthcare, wellness, life sciences, or data-intensive technology experience is preferred but not requiredTechnical RequirementsStrong software engineering fundamentalsStrong system architecture and system design skillsAbility to design complete end-to-end architecturesAbility to create and communicate architecture diagramsStrong experience with modern programming languages including Python, TypeScript, JavaScript, or Node.jsExperience with React and Next.jsExperience building APIs and integrating enterprise systemsExperience with PostgreSQL and modern databasesExperience building data and machine learning pipelinesExperience with ETL/ELT and data ingestionExperience working with structured and unstructured dataExperience with cloud infrastructure such as AWS or GCPExperience with Docker and CI/CDExperience with real-time systems or WebSockets is a plusExperience building LLM systems or AI agents is strongly preferredUnderstanding of prompt engineering, function calling, structured outputs, guardrails, and AI observabilityExperience with vector stores and LLM orchestration is a plusAbility to make architectural tradeoffs around APIs, integrations, reliability, observability, and fallback strategiesCustomer & Product RequirementsStrong experience working directly with customers on technical requirementsAbility to translate business and operational workflows into technical architecturesComfortable running technical discovery and working sessionsAble to present technical solutions to engineering teams and executive stakeholdersStrong understanding of customer implementation and integration challengesAbility to balance customer-specific requirements with scalable product architectureComfortable owning customer-facing technical delivery from start to finishStrong business acumen and ability to understand the commercial context behind technical decisionsComfortable feeding customer insights back into product strategySoft SkillsEntrepreneurial and highly ownership-orientedStrong executive presence and professional communicationComfortable operating with significant autonomyStrong first-principles problem-solving abilityComfortable wearing multiple hatsHighly analytical and technically curiousStrong written and verbal communicationComfortable with ambiguity and rapidly changing prioritiesAble to communicate complex technical concepts clearlyStrong customer empathyLow-ego and collaborativeAble to move quickly without sacrificing technical qualityComfortable making decisions independentlyStrong leadership and mentorship instinctsMotivated by building rather than simply advising or scopingCompensation & BenefitsBase salary: $170,000 - $205,000Total cash compensation: $190,000 - $240,000+Competitive equity packageRemote-first work environmentEastern or Central time zones preferredQuarterly team offsites in New YorkOpportunity to work directly with major healthcare and wellness organizationsHigh ownership over customer-facing AI systemsAbility to influence core product developmentSignificant exposure to AI, ML, data engineering, and enterprise integrationsOpportunity to work at a profitable, rapidly growing technology companyEmployee equity liquidity opportunities through periodic secondary offeringsWhy JoinThis is an opportunity to join a rapidly growing healthcare AI company where engineers have significant ownership over how complex customer problems are solved.You’ll work directly with enterprise wellness and healthcare organizations, owning technical delivery from pre-sales and discovery through architecture, implementation, and production deployment.The role combines hands-on engineering with customer interaction, making it a strong fit for someone who enjoys building systems while also working directly with the people using them.If you enjoy solving complex technical problems, designing systems from first principles, working directly with customers, and operating like an engineer-founder in a high-growth environment, this role offers significant technical ownership and scope. Who is Recruiting from Scratch:

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. Senior Forward Deployed Engineer - WellnessLocation: New York, NY / Boston, MA / Chicago, IL / Texas / Remote within the U.S.Company Stage of Funding: Growth-Stage / Well-FundedOffice Type: Remote - Eastern or Central time zones preferred; quarterly team offsites in New YorkSalary: $170,000 - $205,000 + OTE of $190,000 - $240,000Equity: Competitive EquityVisa: No visa sponsorship or transfers - U.S. Citizens / Green Card holders onlyTravel: Quarterly team offsites in New York and occasional customer-facing travel as neededCompany DescriptionOur client is a high-growth healthcare AI company building predictive and AI-powered systems for major health systems, health plans, and wellness organizations.The company has grown rapidly, doubling revenue from $55M to $116M ARR in 2025 and continuing to scale toward $200M in annual revenue. With over $50M in funding and a team of approximately 100+ employees across the U.S. and Israel, the company is operating at significant scale while maintaining an entrepreneurial, ownership-driven culture.The platform combines machine learning, data infrastructure, AI agents, predictive models, and enterprise integrations to power real-world healthcare and wellness workflows.This is an opportunity to join a highly technical application engineering team where engineers own customer solutions end-to-end - from pre-sales and technical discovery through architecture, implementation, deployment, and ongoing iteration.The role combines software engineering, solutions architecture, AI/ML, data engineering, and customer-facing technical delivery.What You Will DoOwn full technical delivery for wellness clients from pre-sales through production deploymentBuild technical demos and prototypes that demonstrate the platform’s capabilities to prospective customersWork directly with customer technical and data teams to gather requirements and understand existing workflowsLead technical discovery and design sessions with customer stakeholdersDesign end-to-end system architectures for complex enterprise and wellness use casesCreate architecture diagrams and clearly communicate technical tradeoffsBuild and deploy customer-facing software systems into productionArchitect and build AI agents and intelligent applications using the company’s platformIntegrate with customer CRMs, wellness applications, and other enterprise systemsBuild data ingestion pipelines across structured and unstructured data sourcesDevelop ETL/ELT pipelines and data-processing workflowsWork with heterogeneous datasets and complex enterprise data environmentsBuild machine learning and AI-powered workflows for customer use casesImplement LLM-powered systems including prompt engineering, function calling, structured outputs, guardrails, and observabilityWork with APIs, databases, cloud infrastructure, and real-time systemsPartner closely with customer engineering and data teams during implementationTroubleshoot integration, architecture, and production issuesOwn systems from initial requirements through testing, deployment, and iterationFeed customer learnings and recurring patterns back into the core productInfluence product direction based on real-world customer requirementsMake architectural and technical decisions with significant autonomyWork across multiple technical disciplines including application engineering, data, AI, and infrastructureOperate effectively in a fast-moving, entrepreneurial environmentTake ownership of complex technical problems without requiring detailed instructionsRepresent the company professionally with technical and executive customer stakeholdersIdeal Candidate BackgroundExperience Requirements5-15 years of professional software engineering experienceStrong experience building and deploying customer-facing software systemsExperience owning technical delivery from discovery and scoping through production deploymentExperience working across pre-sales, technical discovery, implementation, and post-sale integrationExperience building complex systems end-to-end rather than only prototyping or scoping solutionsExperience working directly with customer technical teamsExperience in production engineering, solutions engineering, solutions architecture, or technical consulting with strong hands-on engineering experienceExperience working in startups or high-growth technology companies strongly preferredFounding engineer, startup CTO, or early engineering experience is a strong plusHealthcare, wellness, life sciences, or data-intensive technology experience is preferred but not requiredTechnical RequirementsStrong software engineering fundamentalsStrong system architecture and system design skillsAbility to design complete end-to-end architecturesAbility to create and communicate architecture diagramsStrong experience with modern programming languages including Python, TypeScript, JavaScript, or Node.jsExperience with React and Next.jsExperience building APIs and integrating enterprise systemsExperience with PostgreSQL and modern databasesExperience building data and machine learning pipelinesExperience with ETL/ELT and data ingestionExperience working with structured and unstructured dataExperience with cloud infrastructure such as AWS or GCPExperience with Docker and CI/CDExperience with real-time systems or WebSockets is a plusExperience building LLM systems or AI agents is strongly preferredUnderstanding of prompt engineering, function calling, structured outputs, guardrails, and AI observabilityExperience with vector stores and LLM orchestration is a plusAbility to make architectural tradeoffs around APIs, integrations, reliability, observability, and fallback strategiesCustomer & Product RequirementsStrong experience working directly with customers on technical requirementsAbility to translate business and operational workflows into technical architecturesComfortable running technical discovery and working sessionsAble to present technical solutions to engineering teams and executive stakeholdersStrong understanding of customer implementation and integration challengesAbility to balance customer-specific requirements with scalable product architectureComfortable owning customer-facing technical delivery from start to finishStrong business acumen and ability to understand the commercial context behind technical decisionsComfortable feeding customer insights back into product strategySoft SkillsEntrepreneurial and highly ownership-orientedStrong executive presence and professional communicationComfortable operating with significant autonomyStrong first-principles problem-solving abilityComfortable wearing multiple hatsHighly analytical and technically curiousStrong written and verbal communicationComfortable with ambiguity and rapidly changing prioritiesAble to communicate complex technical concepts clearlyStrong customer empathyLow-ego and collaborativeAble to move quickly without sacrificing technical qualityComfortable making decisions independentlyStrong leadership and mentorship instinctsMotivated by building rather than simply advising or scopingCompensation & BenefitsBase salary: $170,000 - $205,000Total cash compensation: $190,000 - $240,000+Competitive equity packageRemote-first work environmentEastern or Central time zones preferredQuarterly team offsites in New YorkOpportunity to work directly with major healthcare and wellness organizationsHigh ownership over customer-facing AI systemsAbility to influence core product developmentSignificant exposure to AI, ML, data engineering, and enterprise integrationsOpportunity to work at a profitable, rapidly growing technology companyEmployee equity liquidity opportunities through periodic secondary offeringsWhy JoinThis is an opportunity to join a rapidly growing healthcare AI company where engineers have significant ownership over how complex customer problems are solved.You’ll work directly with enterprise wellness and healthcare organizations, owning technical delivery from pre-sales and discovery through architecture, implementation, and production deployment.The role combines hands-on engineering with customer interaction, making it a strong fit for someone who enjoys building systems while also working directly with the people using them.If you enjoy solving complex technical problems, designing systems from first principles, working directly with customers, and operating like an engineer-founder in a high-growth environment, this role offers significant technical ownership and scope.

• 5-15 years of professional software engineering experience
• Strong experience building and deploying customer-facing software systems
• Experience owning technical delivery from discovery and scoping through production deployment
• Experience working across pre-sales, technical discovery, implementation, and post-sale integration
• Experience building complex systems end-to-end rather than only prototyping or scoping solutions
• Experience working directly with customer technical teams
• Experience in production engineering, solutions engineering, solutions architecture, or technical consulting with strong hands-on engineering experience
• Experience working in startups or high-growth technology companies strongly preferred
• Founding engineer, startup CTO, or early engineering experience is a strong plus
• Healthcare, wellness, life sciences, or data-intensive technology experience is preferred but not required

Technical Requirements

• Strong software engineering fundamentals
• Strong system architecture and system design skills
• Ability to design complete end-to-end architectures
• Ability to create and communicate architecture diagrams
• Strong experience with modern programming languages including Python, TypeScript, JavaScript, or Node.js
• Experience with React and Next.js
• Experience building APIs and integrating enterprise systems
• Experience with PostgreSQL and modern databases
• Experience building data and machine learning pipelines
• Experience with ETL/ELT and data ingestion
• Experience working with structured and unstructured data
• Experience with cloud infrastructure such as AWS or GCP
• Experience with Docker and CI/CD
• Experience with real-time systems or WebSockets is a plus
• Experience building LLM systems or AI agents is strongly preferred
• Understanding of prompt engineering, function calling, structured outputs, guardrails, and AI observability
• Experience with vector stores and LLM orchestration is a plus
• Ability to make architectural tradeoffs around APIs, integrations, reliability, observability, and fallback strategies

Customer & Product Requirements

• Strong experience working directly with customers on technical requirements
• Ability to translate business and operational workflows into technical architectures
• Comfortable running technical discovery and working sessions
• Able to present technical solutions to engineering teams and executive stakeholders
• Strong understanding of customer implementation and integration challenges
• Ability to balance customer-specific requirements with scalable product architecture
• Comfortable owning customer-facing technical delivery from start to finish
• Strong business acumen and ability to understand the commercial context behind technical decisions
• Comfortable feeding customer insights back into product strategy

Soft Skills

• Entrepreneurial and highly ownership-oriented
• Strong executive presence and professional communication
• Comfortable operating with significant autonomy
• Strong first-principles problem-solving ability
• Comfortable wearing multiple hats
• Highly analytical and technically curious
• Strong written and verbal communication
• Comfortable with ambiguity and rapidly changing priorities
• Able to communicate complex technical concepts clearly
• Strong customer empathy
• Low-ego and collaborative
• Able to move quickly without sacrificing technical quality
• Comfortable making decisions independently
• Strong leadership and mentorship instincts
• Motivated by building rather than simply advising or scoping

• Base salary: $170,000 - $205,000
• Total cash compensation: $190,000 - $240,000+
• Competitive equity package
• Remote-first work environment
• Eastern or Central time zones preferred
• Quarterly team offsites in New York
• Opportunity to work directly with major healthcare and wellness organizations
• High ownership over customer-facing AI systems
• Ability to influence core product development
• Significant exposure to AI, ML, data engineering, and enterprise integrations
• Opportunity to work at a profitable, rapidly growing technology company
• Employee equity liquidity opportunities through periodic secondary offerings

Our client is a high-growth healthcare AI company building predictive and AI-powered systems for major health systems, health plans, and wellness organizations.

The company has grown rapidly, doubling revenue from $55M to $116M ARR in 2025 and continuing to scale toward $200M in annual revenue. With over $50M in funding and a team of approximately 100+ employees across the U.S. and Israel, the company is operating at significant scale while maintaining an entrepreneurial, ownership-driven culture.

The platform combines machine learning, data infrastructure, AI agents, predictive models, and enterprise integrations to power real-world healthcare and wellness workflows.

This is an opportunity to join a highly technical application engineering team where engineers own customer solutions end-to-end - from pre-sales and technical discovery through architecture, implementation, deployment, and ongoing iteration.

The role combines software engineering, solutions architecture, AI/ML, data engineering, and customer-facing technical delivery., This is an opportunity to join a rapidly growing healthcare AI company where engineers have significant ownership over how complex customer problems are solved.

You’ll work directly with enterprise wellness and healthcare organizations, owning technical delivery from pre-sales and discovery through architecture, implementation, and production deployment.

The role combines hands-on engineering with customer interaction, making it a strong fit for someone who enjoys building systems while also working directly with the people using them.

If you enjoy solving complex technical problems, designing systems from first principles, working directly with customers, and operating like an engineer-founder in a high-growth environment, this role offers significant technical ownership and scope.