Deployment & DevOps Engineer deploying BMI’s wireless and software solutions. Managing Kubernetes, CI/CD, Linux, networking, and customer integrations.
About the role
- Core role deploying AI products to new customers in healthcare setting. Collaborate with teams to optimize deployments and improve AI offerings.
Responsibilities
- Help configure and rollout customers of our existing AI voice agent
- Build and run evaluation suites to validate behavior, catch regressions, and tune prompts as new customers are deployed
- Develop new features and fixes to the core product
- Optimize latency, inference cost, and hallucination guardrails
- Run and improve model evaluation, benchmarking, and observability across the product
- Monitor cost controls, usage monitoring, and security/PHI handling constraints
- Partner with Product and Customer Success to turn customer requirements into working, validated deployments, and own customer go-live, post-launch monitoring, and production issue debugging
- Help streamline and automate the onboarding process to reduce the engineering effort required to bring each new customer live
Requirements
- 3+ years software engineering experience with strong Python backend skills
- 1+ years of production experience with LLM APIs, deploying and supporting GenAI systems at scale
- Cloud-native architecture experience, preferably AWS
- Experience in regulated or security-conscious environments
- Product-minded systems thinker, comfortable with ambiguity and executive communication
- Experience with voice or conversational AI a plus
- Comfortable translating non-technical customer requirements into working configuration
Benefits
- Remote first work environment
- Health, Dental, Vision, Life and Disability Insurance options available day one.
- 401K - with match and immediately vested.
- 17 company holidays, 2 floating holidays plus competitive paid time off policy
- Internal Advancement Opportunities
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