Lyrahealth

Senior AI/ML Platform Engineer

United States

Open 3 months, first seen by us 91 days ago

Pay: Multiple pay statements — pay source
Experience working with highly sensitive data in a healthcare environment As a full-time Senior AI/ML Platform Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $143,000-197,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses. Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:
Salary 143,000 – 197,000 USD per year "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.
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Work setting: Remote — work setting source
Work setup in the employer’s posting: remote
From the employer’s posting
Employment: Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

Build backend infrastructure for scalable, resilient, high-performance AI solutions
Build services that expose machine learning and AI based products
Deploy and manage applications in production
Build the machine learning and generative AI platforms used company-wide

From the employer’s posting

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

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

What you’ll bring

All qualifications

Core experience

6+ years delivering production-ready products
Strong Python coding
Experience with FastAPI or similar async frameworks and data streaming (WebSockets, SSE)
Docker and Kubernetes deployment experience
Experience building RAG-based AI solutions and maintaining vector databases

Qualification wording

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 building RAG based AI solutions

About Lyrahealth

In the employer’s words · Read in context

Apply at Lyrahealth

Posting record

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Open 3 monthsWe first saw this posting 91 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Aug 5, 202691 days ago
Recorded sightings: 146
Last seen by us: Nov 5, 2026
Employer says posted: Jul 30, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 91

Up longer than most. Similar jobs usually come down between day 6 and day 69.

From 4,423 similar postings that came down. Coming down is not always a hire.

Lyrahealth is hiring

9 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring is picking up
Its jobs tend to stay up a long time

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Java
Kotlin
Python
AWS
Docker
Kubernetes
Neo4j
FastAPI

Where the posting names them

- Experience defining and using Protobuf messages - Experience writing production code in Java/Kotlin - Experience building solutions on cloud infrastructure, particularly AWS

- 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)

- 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 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

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 writing production code in Java/Kotlin - Experience building solutions on cloud infrastructure, particularly AWS - Experience working with highly sensitive data in a healthcare environment

- 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

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

About Lyra Health

Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions.

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

As a full-time Senior AI/ML Platform Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $143,000-197,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.

Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:

Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances)
Lyra for Lyrians; coaching and therapy services
Equity in the company through discretionary restricted stock units
Competitive time off with pay policies including vacation, sick days, and company holidays
Paid parental leave
401K with up to 3% matching
Monthly tech allowance
We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!

We can’t wait to meet you.

Salary

143,000 – 197,000 USD per year

"We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.

By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice."

Employment type

Full-time

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

Experience working with highly sensitive data in a healthcare environment As a full-time Senior AI/ML Platform Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $143,000-197,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses. Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:

More source context

Salary 143,000 – 197,000 USD per year "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.

Location & working pattern