Senior AI/ML Platform Engineer
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
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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 platforms that will be used by teams across the company
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Create the necessary backend infrastructure to enable scalable, resilient and highly performant solutions
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Build services that expose machine learning and AI based products
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Deploy and manage various applications in production
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And of course, you will be coding every day!
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
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