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Salary
$128k – $230k per year (Estimated)
Location
Remote (United States)
Seniority
Senior · 4+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Lyra Health is the leading provider of Workforce Mental Health benefits, available to more than 15 million people worldwide. The company offers a full spectrum of care offerings, from preventive to severe.

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. The ideal candidate will be enthusiastic about taking ownership of their work, spearheading cross-functional projects, and providing guidance and mentorship to other team members.

Lyra is for you if you

  • Thrive on working with brilliant teammates to solve complex, meaningful problems

  • Are passionate about making a social impact and supporting people at their most challenging moments

  • Enjoy cross-functional collaboration with therapists, data scientists, engineers and product managers

In this role, you will

  • Be part of a team working on building our machine learning and generative AI platforms that will be used by teams across the company

  • 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

  • And of course, you will be coding every day!

We are looking for someone with:

  • 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

  • Experience setting up and maintaining vector databases

  • Familiarity with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and integrating with foundation model APIs (e.g., OpenAI, Anthropic, AWS Bedrock)

  • 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

  • Nice to haves:

  • 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

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