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
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 backend services that will support the many ML/AI product features.
Create the necessary backend infrastructure to enable scalable, resilient and highly performant solutions
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 integrating RAG (retrieval-augmented generation) into AI features
Experience building generative AI chatbots
Experience with LLM observability and monitoring tools (e.g., Langfuse) to track latency, token usage, and output quality.
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 setting up and maintaining vector databases
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
Similar Jobs
What you need to know about the Seattle Tech Scene
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
