Senior AI/ML Platform Engineer

About Lyra Health

Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs.

We are transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. We are looking for an experienced Senior AI/ML Platform Engineer who is eager to build the platforms, infrastructure and services necessary to deliver ML and generative AI based products that make a significant impact within the organization.

Responsibilities

• Create the necessary backend infrastructure to enable scalable, resilient and highly performant solutions
• Build services that expose machine learning and AI based products
• Deploy and manage various applications in production
• Be part of a team working on building our machine learning and generative AI platforms that will be used by teams across the company

Requirements

• 4+ years of experience delivering production ready products
• Ability to write high-quality code in Python
• Experience with modern async Python web frameworks (e.g., FastAPI) and handling data streaming (WebSockets, Server-Sent Events)
• Experience working with Docker and deploying applications to Kubernetes
• Experience with relational and low-latency databases
• Experience building RAG based AI solutions
• Familiarity with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and integrating with foundation model APIs (e.g., OpenAI, Anthropic, AWS Bedrock)

Qualifications

• A desire to learn new technologies quickly
• A love of building systems from scratch
• A thoughtful approach to balancing quality and deadlines in fast-paced settings
• Excellent communication skills with a talent for building consensus and alignment
• Strong organizational skills and the ability to distill complex problems into clear priorities that move the team and business forward

Skills

• Experience with Graph Databases (e.g., Neo4j, AWS Neptune) and integrating them into AI/Knowledge systems (e.g., GraphRAG)
• Experience with LLM observability and monitoring tools (e.g., Langfuse) to track latency, token usage, and output quality
• Experience working with Celery
• Experience defining and using Protobuf messages
• Experience writing production code in Java/Kotlin
• Experience building solutions on cloud infrastructure, particularly AWS
• Experience working with highly sensitive data in a healthcare environment

Benefits

• Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances)
• Lyra for Lyrians; coaching and therapy services
• Equity in the company through discretionary restricted stock units
• Competitive time off with pay policies including vacation, sick days, and company holidays
• Paid parental leave
• 401K with up to 3% matching
• Monthly tech allowance

Pay

The anticipated annual base salary range for this full-time position is $143,000-197,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location.

Schedule

This role may also be eligible for discretionary bonuses.