Senior Forward Deployed Engineer
Senior Forward Deployed Engineer
Posted 17 days ago
SENIORITY
Senior
About the role
- Design, build, and iterate on voice AI conversation workflows and agents for healthcare clients
- Configure and build API integrations between our platform and client systems (CRMs, EHRs, CCaaS platforms, data warehouses)
- Build and maintain data pipelines — ingesting client data into our platform and delivering structured engagement data back out via webhooks, SFTP, and APIsOwn the full technical delivery for new client launches, from requirements through production deployment
- Partner with Customer Success to scope technical requirements and translate client needs into implementation plans
- Troubleshoot production issues across the voice engine, telephony, and integration layers
- Collaborate with platform engineering to feed client patterns back into reusable product capabilities
- Use AI tools throughout your workflow — for development, testing, debugging, and workflow prototyping
- Contribute to internal tooling and processes that make client delivery faster and more repeatable
- 5-7 years of software engineering experience
- Strong Python skills — comfortable writing production code, not just scripts
- Experience building or consuming REST APIs and working with third-party integrations (OAuth, webhooks, API key auth)
- Familiarity with data formats and delivery mechanisms: JSON, CSV, SFTP, webhooks, file-based ingestion
- Comfort working in YAML-heavy configuration (workflow definitions, deployment configs, CI/CD)
- Experience with cloud infrastructure basics — comfortable navigating Kubernetes, Docker, and secret management in production
- Proficiency using AI tools (Claude, ChatGPT, Copilot, Cursor, etc.) as part of your development workflow
- Strong communication skills — able to translate between technical and non-technical stakeholders
- Self-directed and comfortable with ambiguity — able to take a loosely defined client requirement and turn it into a working system
- Experience in a startup or high-growth environment where you wore multiple hats
- Experience with conversational AI, voice AI, or telephony platforms (Twilio, Genesys, Five9, etc.)Familiarity with LLMs and prompt engineering in production applications
- Java or Kotlin experience
- Experience in healthcare, health tech, or compliance-driven industries (HIPAA, FHIR, HL7)
- Background in solutions engineering, professional services, or client-facing technical roles
- Experience with CCaaS or contact center integrations
- Familiarity with LangChain, LangGraph, or similar agent frameworks
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
