Forward Deployed Engineer (SF/On-site)

Location San Francisco Employment Type Full time Location Type On-site Department Engineering About Soulside Soulside AI is transforming how behavioral health organizations operate, unlocking massive efficiency gains through AI. Our platform cuts documentation time by 80%—turning 3+ hours of daily paperwork into 30 minutes—so these organizations can focus resources on patient care, growth, and innovation. The impact is immediate: better outcomes, reduced costs, and the ability to serve more patients without adding administrative overhead. We're scaling fast and building the infrastructure that will power mental healthcare for decades. This is your chance to join as a founding engineer and shape a platform that every behavioral health organization will depend on. Our momentum speaks for itself: Backed by Counterpart Ventures, GreyMatter Capital, Sarah Smith Fund & Kaya Ventures UCSF Rosenman Healthtech Innovator 2024 OneMind Accelerator 2024 & PeakXV Spark Program Global Top 10 – Confluent Data Streaming Challenge The Role We’re looking for a Forward Deployed Engineer to work directly with behavioral health organizations and turn real‑world clinical workflows into production software. This role sits at the intersection of engineering, product, and customer implementation. You’ll help customers go from kickoff to live while shaping the core platform that powers mental healthcare delivery at scale. You’ll be embedded with clinicians, operations leaders, and IT teams at our customers—translating the messy reality of behavioral health operations into elegant, scalable product. As an early engineering hire, you will have outsized impact on our technical architecture, product direction, and customer experience, with significant equity upside and the autonomy to make decisions that will scale with our growth. What You’ll Do Work directly with behavioral health organizations during onboarding and implementation, from kickoff to go‑live Translate clinical and operational workflows—intake, assessment, treatment planning, billing, compliance—into scalable Soulside product features Build integrations with customer EHRs, practice management systems, and clinical data sources Extend the platform to support complex clinical documentation, coding, and reporting workflows Identify product gaps surfaced during deployments and collaborate with product and engineering to close them Own customer‑facing technical outcomes end‑to‑end, from first integration call to production rollout Establish patterns and tooling that make future deployments faster and more repeatable Who You Are Customer‑Obsessed Engineer: You’re energized by sitting with users, watching how they actually work, and turning that into shipped software. You see customer calls as the highest‑leverage part of your week, not an interruption. Systems Thinker: You naturally reason about distributed systems, integrations, and data consistency—and you design for what goes wrong, not just what goes right. Resourceful Problem Solver: You can architect smart solutions when faced with complex, non‑standard healthcare workflows, legacy systems, and ambiguous requirements. Ownership Mindset: You’re happy to own a deployment end‑to‑end—architecture, code, customer communication, and the operational details that keep production systems running. Required Qualifications 2+ years of software engineering experience Strong backend or ML/AI background, with experience shipping production software Comfort working directly with customers and ambiguous problems—turning conversations into specs into code Experience building integrations with third‑party APIs and data sources Hands‑on experience with LLM technologies including prompt engineering and production AI pipelines Excellent written and verbal communication—you can explain technical tradeoffs to clinicians and clinical realities to engineers Ability to thrive in a fast‑paced startup environment with high ownership Bonus Points Experience with healthcare data standards (HL7, FHIR, CCDA) or EHR integrations HIPAA compliance experience Background in customer‑facing engineering, solutions engineering, or technical implementation roles Experience with data pipelines, document ingestion, or OCR systems Audio/signal processing experience Familiarity with Spring Boot, Kafka, AWS, or our broader stack CS degree or equivalent experience Stack Backend: Spring Boot, Java Streaming & Async: Kafka, SQS, Kinesis Data: Postgres, distributed data stores Infra: AWS (EC2, ECS/EKS), Terraform Observability: Prometheus, Grafana AI: LLM foundation models, custom prompt and evaluation pipelines What We Offer Significant equity package with high upside potential as an early team member Competitive salary commensurate with senior engineering roles Comprehensive health, dental, and vision insurance Flexible work arrangements with remote‑first culture Direct access to founders and influence on company direction Professional development budget and conference attendance Modern tech stack and complete autonomy over technical decisions Opportunity to build something meaningful that impacts mental health at scale #J-18808-Ljbffr F2 AI