Senior AI/ML Platform Engineer
At a glance
Senior ML Platform & Ops role at Lyra Health. Remote, United States · full-time · $143,000–$197,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build shared machine learning and generative AI platforms for teams across the organization
- Create backend infrastructure that keeps solutions scalable, resilient and highly performant
- Develop services that make machine learning and AI products available to other systems
- Deploy and operate applications in production while coding day to day
- Lead cross-functional work and guide teammates as the platform develops
What you bring
- At least six years delivering products that are ready for production use
- Strong Python skills, including experience with asynchronous web frameworks and streaming data
- Hands-on experience with Docker, Kubernetes, relational databases and low-latency databases
- Experience developing retrieval-augmented generation solutions and maintaining vector databases
- Familiarity with LLM orchestration frameworks and integrating foundation-model APIs
Who this fits
This senior, hands-on engineering role suits someone who enjoys building AI/ML systems from scratch, collaborating across disciplines and mentoring teammates. It is remote within the United States.
From the employer
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:
-
6+ 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