Senior AI/ML Backend Engineer
At a glance
Senior AI Engineering 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 backend services for machine-learning and generative-AI product features
- Design infrastructure that keeps those services scalable, resilient and performant
- Deploy and operate applications in production
- Write code daily and take ownership of cross-functional engineering projects
What you bring
- At least six years delivering products into production
- Strong Python skills, including modern asynchronous web frameworks and streaming data
- Hands-on experience with Docker, Kubernetes, relational databases and low-latency databases
- Experience adding retrieval-augmented generation to AI features and building generative-AI chatbots
- Experience monitoring LLM latency, token use and output quality with observability tools
Who this fits
This senior role suits someone who enjoys building backend systems from the ground up and working with therapists, data scientists, engineers and product managers. It is a full-time remote role for someone in the United States.
From the employer
We are looking for an experienced Senior AI/ML Backend Engineer who is eager to build the backend services for our AI/ML product features that make a significant impact within the organization. The ideal candidate will be enthusiastic about taking ownership of their work and spearheading cross-functional projects.
Lyra is for you if you
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Thrive on working with brilliant teammates to solve complex, meaningful problems
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Are passionate about making a social impact and supporting people at their most challenging moments
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Enjoy cross-functional collaboration with therapists, data scientists, engineers and product managers
In this role, you will
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Be part of a team working on building our machine learning and generative AI backend services that will support the many ML/AI product features.
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Create the necessary backend infrastructure to enable scalable, resilient and highly performant solutions
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Deploy and manage various applications in production
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And of course, you will be coding every day!
We are looking for someone with:
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6+ years of experience delivering production ready products
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Ability to write high-quality code in Python
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Experience with modern async Python web frameworks (e.g., FastAPI) and handling data streaming (WebSockets, Server-Sent Events)
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Experience working with Docker and deploying applications to Kubernetes
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Experience with relational and low-latency databases
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Experience integrating RAG (retrieval-augmented generation) into AI features
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Experience building generative AI chatbots
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Experience with LLM observability and monitoring tools (e.g., Langfuse) to track latency, token usage, and output quality.
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Familiarity with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and integrating with foundation model APIs (e.g., OpenAI, Anthropic, AWS Bedrock)
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A desire to learn new technologies quickly
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A love of building systems from scratch
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A thoughtful approach to balancing quality and deadlines in fast-paced settings
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Excellent communication skills with a talent for building consensus and alignment
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Strong organizational skills and the ability to distill complex problems into clear priorities that move the team and business forward
Nice to haves:
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Experience setting up and maintaining vector databases
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Experience working with Celery
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Experience defining and using Protobuf messages
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Experience writing production code in Java/Kotlin
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Experience building solutions on cloud infrastructure, particularly AWS
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Experience working with highly sensitive data in a healthcare environment