Software Engineer, Applied AI (FDE)
Role details
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Job description
Attune is a Chicago-based healthcare voice AI company building an intelligent platform that automates patient engagement at scale. Our agentic voice AI conducts health risk assessments, schedules appointments, manages prescription reminders, and handles post-procedure follow-ups.
We help healthcare organizations improve patient outcomes while reducing operational burden - transforming how providers connect with their patients., We're looking for a Software Engineer to join a new team dedicated to client delivery - building and shipping the voice AI agents, integrations, and data pipelines that power real patient conversations for our customers.
You'll work at the intersection of our platform and our clients' systems: designing conversation workflows, configuring API integrations with CRMs and EHRs, building data ingestion and export pipelines, and ensuring every deployment runs reliably in production. You'll partner closely with Customer Success and Product to translate client requirements into working solutions, and with the platform engineering team when client needs surface opportunities to improve the core product.
This is a hands-on, high-impact role. You'll own the full technical lifecycle of client deployments - from initial scoping through go-live and ongoing iteration. If you're the kind of engineer who gets energy from seeing your work drive real outcomes (patients reached, appointments scheduled, care gaps closed), this is the role.
What You'll Do
- 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 APIs
- Own 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
Requirements
- 3-5 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
Nice-to-Haves
- 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