Note: The job is a remote job and is open to candidates in USA. Beni Health is hiring an AI Engineering Lead to architect and build agentic AI systems for patient communication, care coordination, and clinical data integrations. The role also owns production reliability, backend infrastructure, and collaboration with the product team to advance and deploy the product.
Responsibilities
- Architecture and implementation of Beni's agentic AI systems: orchestration, memory, tool use, multi-step reasoning
- The multi-modal communication layer, including our voice AI pipeline and asynchronous outreach channels
- EMR integration work, connecting Beni's intelligence to the clinical data that lives in practice systems (FHIR, HL7 and other applicable frameworks)
- Production reliability for AI outputs in a clinical context: evaluation frameworks, monitoring, and graceful failure handling
- Backend infrastructure that is scalable and provides the highest level of privacy and security
- Close AI native collaboration with the product team leveraging emerging technologies and workflows to accelerate shipping and deployment
- Code review, release process, and keeping dependencies patched across the services you own
- On-call rotation and incident response for production systems
Skills
- Bachelor's degree in Computer Science, Software Engineering, or a closely related technical field
- Five or more years of professional software engineering experience, including at least two years building and operating AI or machine learning systems in production
- Hands-on production experience with LLM application development: orchestration, retrieval-augmented generation, tool use and function calling, and multi-step reasoning
- Strong backend fundamentals, including the design and operation of APIs, asynchronous and event-driven systems, and data pipelines in Python and/or TypeScript
- Experience deploying and operating services on a major cloud platform (AWS, GCP, or Azure), including CI/CD, containerization, and infrastructure as code
- Demonstrated experience building systems that handle sensitive or regulated data, including encryption in transit and at rest, role-based access control, and audit logging
- Working at the cutting edge of AI, using emerging tools and frameworks to accelerate your daily work and your collaboration with the team
- Exceptional verbal and written communication, sufficient to work directly with clinicians and other non-technical stakeholders
- Proactive attitude and strong self-direction, focusing on progress over process
- Authorized to work in the United States
- Master's or doctoral degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Healthcare data and EMR integration experience: FHIR, HL7v2, and platforms such as Epic, athenahealth, or eClinicalWorks
- Working knowledge of HIPAA as it applies to engineering, and experience operating under a formal compliance program such as SOC 2 or HITRUST
- Real-time voice AI experience: speech recognition and synthesis, telephony (Twilio, LiveKit, SIP), and low-latency streaming pipelines
- Experience building evaluation and monitoring frameworks for non-deterministic model output
- Prior founding or lead engineer experience at an early-stage startup
- Cloud or security certifications such as AWS Certified Solutions Architect, AWS Certified Security – Specialty, or CISSP
Benefits
- Early-stage equity
- Remote role; requires US residency
Company Overview