Senior AI Software Engineer Jobs in Los Angeles, CA
Senior AI Software Engineer jobs in Los Angeles are concentrated in Santa Monica, Culver City, and the Westside tech corridor, with strong demand across entertainment technology, aerospace, and enterprise software. Employers hiring right now include Commure, Cedars-Sinai Medical Center, and University of Southern California. See the openings below and apply to the ones that match your experience.
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Showing 5 of 11+ Senior AI Software Engineer jobs
At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs.
Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for “Overall NLP Company of the Year.”
Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here.
The future of healthcare is being built right now. Come deliver this transformation.
About the Role
Running a healthcare practice is hard. It's a highly regulated, low-margin business. Practices deliver care upfront, then have to navigate a complex insurance system to get paid. Much of that work is manual, and it isn't always clear which claims or tasks are worth tackling first. When a practice can't operate efficiently, patients are impacted through reduced access to care or unexpected out-of-pocket costs.
Our Claims team builds software that helps clinics and hospitals get paid for the care they deliver. We build automations that can be configured to fit each practice's needs, ensuring their entire business pipeline functions smoothly.
We also build tools that help billers and administrators figure out where their time will have the biggest impact. We help them go after the highest ROI work first, work claims in bulk, and spot trends early that need their attention. We're also building AI agents as coworkers that can take on work between fixed automations and fully manual workflows and make customer onboarding and billing setup more accurate and automated. The end goal is to help clinics and hospitals work more efficiently and collect more of the revenue they've earned.
As a Senior Software Engineer, you'll work across the stack, from data-dense workflows in the UI to the backend pipelines, integrations, and rule engines that power them. You'll own important projects and subsystems, make thoughtful technical decisions, and help us solve the right problems for the people working through claims every day. Our scope is broad: you might build a CDC pipeline, design an API, or create a new automation workflow on any given day.
As a Senior Software Engineer, you'll own multi-component projects where requirements may be incomplete or evolving. You'll define the approach, sequence the work, anticipate failure modes, and own problems from the first conversation through launch and beyond. This role is for someone who likes working with messy real-world data, cares about the people using their software, is looking for high levels of ownership, and enjoys turning a complicated problem into something useful.
What You’ll Do
Build fast, intuitive claims workflows in Air that help billers find, understand, correct, and prioritize work, whether they're working one claim or thousands.
Design and build full-stack features with React, TypeScript, Python, and PostgreSQL, from user experience and APIs to data models and production operations.
Build and scale the claims generation and submission pipeline, transforming encounter data into valid electronic claims across professional, institutional, and dental formats, as well as paper claims when needed.
Integrate with clearinghouses and handle the varied responses, verification requirements, and errors that come with getting claims to payers.
Improve coverage and payer routing, with guardrails that protect against using the wrong person's coverage information.
Build configurable automations and AI-assisted workflows that reduce repetitive work. Give billers and administrators the visibility and control to manage agents and correct mistakes.
Use LLMs and agents to streamline customer onboarding and billing setup, helping each customer get configured accurately with as much automation as practical and appropriate human review.
Design and build reliable subsystems with clear interfaces and data models. Improve their maintainability and operational stability over time.
Solve hard reliability and scale problems, including bulk operations, partial failures, idempotency, performance, observability, and auditability. Find root causes and prevent recurring issues.
Work closely with product, design, billing operations, and other engineers to understand real user problems, make thoughtful tradeoffs, and measure improvements in user experience and operational outcomes.
Lead technical discussions and design reviews within the team, and coordinate dependencies with other teams.
Make decisions that account for downstream dependencies, persisted data, and the long-term health of the system.
Mentor other engineers, including peers and those earlier in their careers.
Raise the bar through thoughtful code reviews, clear documentation, and practical patterns other engineers can use.
What You Have
5+ years of professional software development experience building and operating production applications.
Strong full-stack engineering skills, including experience with modern frontend frameworks such as React and backend development in Python or Go. Our primary stack includes TypeScript, React, Python, and PostgreSQL.
Experience designing and building production subsystems, including their interfaces, reliability, and evolution.
Strong technical judgment in ambiguous situations. You can balance speed, correctness, performance, compliance, and simplicity while considering downstream dependencies and future changes.
A track record of leading complex work from problem definition through delivery and ongoing operation, with measurable improvements to user experience, reliability, or operational outcomes.
Strong debugging and problem-solving skills, including using monitoring, logging, and alerting to identify root causes and prevent problems from recurring.
Product-mindedness and empathy for users: you want to understand how people actually work and build software that makes their jobs easier.
Clear communication and collaboration skills. You can explain decisions and tradeoffs, lead team-level technical discussions, and coordinate with stakeholders across teams.
Experience mentoring other engineers and raising the technical bar through design reviews, code reviews, and practices others adopt.
Nice to Have
Experience building data-dense operational tools, workflow automation, bulk operations, or high-volume transaction systems.
Familiarity with healthcare billing, claims, EDI, or clearinghouse integrations, or a demonstrated ability to learn a complex domain quickly.
Experience shipping AI-assisted features in real workflows, with good judgment about where automation is appropriate and where people need visibility and control.
Experience improving React performance, building interactive analytics, or designing intuitive experiences for non-technical users.
Experience with cloud infrastructure, containers, CI/CD, and modern observability tools.
Experience working in a regulated industry with a focus on security and compliance.
A passion for improving healthcare and healthcare operations in America.
Please be aware that all official communication from us will come exclusively from email addresses ending in @commure.com. Any emails from other domains are not affiliated with our organization.
Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.
At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs.
Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for “Overall NLP Company of the Year.”
Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here.
The future of healthcare is being built right now. Come deliver this transformation.
About the Role
Running a healthcare practice is hard. It's a highly regulated, low-margin business. Practices deliver care upfront, then have to navigate a complex insurance system to get paid. Much of that work is manual, and it isn't always clear which claims or tasks are worth tackling first. When a practice can't operate efficiently, patients are impacted through reduced access to care or unexpected out-of-pocket costs.
Our Claims team builds software that helps clinics and hospitals get paid for the care they deliver. We build automations that can be configured to fit each practice's needs, ensuring their entire business pipeline functions smoothly.
We also build tools that help billers and administrators figure out where their time will have the biggest impact. We help them go after the highest ROI work first, work claims in bulk, and spot trends early that need their attention. We're also building AI agents as coworkers that can take on work between fixed automations and fully manual workflows and make customer onboarding and billing setup more accurate and automated. The end goal is to help clinics and hospitals work more efficiently and collect more of the revenue they've earned.
As a Senior Software Engineer, you'll work across the stack, from data-dense workflows in the UI to the backend pipelines, integrations, and rule engines that power them. You'll own important projects and subsystems, make thoughtful technical decisions, and help us solve the right problems for the people working through claims every day. Our scope is broad: you might build a CDC pipeline, design an API, or create a new automation workflow on any given day.
As a Senior Software Engineer, you'll own multi-component projects where requirements may be incomplete or evolving. You'll define the approach, sequence the work, anticipate failure modes, and own problems from the first conversation through launch and beyond. This role is for someone who likes working with messy real-world data, cares about the people using their software, is looking for high levels of ownership, and enjoys turning a complicated problem into something useful.
What You’ll Do
Build fast, intuitive claims workflows in Air that help billers find, understand, correct, and prioritize work, whether they're working one claim or thousands.
Design and build full-stack features with React, TypeScript, Python, and PostgreSQL, from user experience and APIs to data models and production operations.
Build and scale the claims generation and submission pipeline, transforming encounter data into valid electronic claims across professional, institutional, and dental formats, as well as paper claims when needed.
Integrate with clearinghouses and handle the varied responses, verification requirements, and errors that come with getting claims to payers.
Improve coverage and payer routing, with guardrails that protect against using the wrong person's coverage information.
Build configurable automations and AI-assisted workflows that reduce repetitive work. Give billers and administrators the visibility and control to manage agents and correct mistakes.
Use LLMs and agents to streamline customer onboarding and billing setup, helping each customer get configured accurately with as much automation as practical and appropriate human review.
Design and build reliable subsystems with clear interfaces and data models. Improve their maintainability and operational stability over time.
Solve hard reliability and scale problems, including bulk operations, partial failures, idempotency, performance, observability, and auditability. Find root causes and prevent recurring issues.
Work closely with product, design, billing operations, and other engineers to understand real user problems, make thoughtful tradeoffs, and measure improvements in user experience and operational outcomes.
Lead technical discussions and design reviews within the team, and coordinate dependencies with other teams.
Make decisions that account for downstream dependencies, persisted data, and the long-term health of the system.
Mentor other engineers, including peers and those earlier in their careers.
Raise the bar through thoughtful code reviews, clear documentation, and practical patterns other engineers can use.
What You Have
5+ years of professional software development experience building and operating production applications.
Strong full-stack engineering skills, including experience with modern frontend frameworks such as React and backend development in Python or Go. Our primary stack includes TypeScript, React, Python, and PostgreSQL.
Experience designing and building production subsystems, including their interfaces, reliability, and evolution.
Strong technical judgment in ambiguous situations. You can balance speed, correctness, performance, compliance, and simplicity while considering downstream dependencies and future changes.
A track record of leading complex work from problem definition through delivery and ongoing operation, with measurable improvements to user experience, reliability, or operational outcomes.
Strong debugging and problem-solving skills, including using monitoring, logging, and alerting to identify root causes and prevent problems from recurring.
Product-mindedness and empathy for users: you want to understand how people actually work and build software that makes their jobs easier.
Clear communication and collaboration skills. You can explain decisions and tradeoffs, lead team-level technical discussions, and coordinate with stakeholders across teams.
Experience mentoring other engineers and raising the technical bar through design reviews, code reviews, and practices others adopt.
Nice to Have
Experience building data-dense operational tools, workflow automation, bulk operations, or high-volume transaction systems.
Familiarity with healthcare billing, claims, EDI, or clearinghouse integrations, or a demonstrated ability to learn a complex domain quickly.
Experience shipping AI-assisted features in real workflows, with good judgment about where automation is appropriate and where people need visibility and control.
Experience improving React performance, building interactive analytics, or designing intuitive experiences for non-technical users.
Experience with cloud infrastructure, containers, CI/CD, and modern observability tools.
Experience working in a regulated industry with a focus on security and compliance.
A passion for improving healthcare and healthcare operations in America.
Please be aware that all official communication from us will come exclusively from email addresses ending in @commure.com. Any emails from other domains are not affiliated with our organization.
Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.
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Senior AI Software Engineer Jobs in Los Angeles: Frequently Asked Questions
How do I get a senior ai software engineer job in Los Angeles?
Focus your search on the Westside corridor from Santa Monica to Culver City, where entertainment tech, streaming platforms, and aerospace primes cluster alongside venture-backed AI startups. Employers in Los Angeles weight practical experience with large language models, MLOps pipelines, and production deployment heavily. Candidates who can demonstrate shipped products rather than research prototypes tend to move fastest through hiring pipelines in this market.
Which companies hire senior ai software engineers in Los Angeles?
Employers hiring senior ai software engineers in Los Angeles right now include Commure, Cedars-Sinai Medical Center, and University of Southern California, based on current listings on Migrate Mate as of November 2026. Los Angeles draws a wide mix of studios, aerospace contractors, healthcare technology companies, and early-stage AI startups, giving experienced engineers a broad range of industry contexts to choose from.
Are there remote senior ai software engineer jobs in Los Angeles?
Yes, and the role is well suited to remote and hybrid arrangements given its desk-based, collaborative nature. About 0% of senior ai software engineer openings tied to Los Angeles are remote or hybrid as of November 2026, reflecting the city's established culture of flexible tech work. Model development, research, and code review tasks are most commonly performed off-site in Los Angeles-based roles.
How can I get a senior ai software engineer job in Los Angeles with little or no experience?
The most realistic entry path in Los Angeles is through a junior or mid-level machine learning engineer role at a mid-size startup on the Westside, where smaller teams give engineers broader exposure faster. Aerospace primes in El Segundo and defense contractors in the South Bay also run structured AI and software engineering rotations. Building a public portfolio of deployed models and contributing to open-source projects adds credibility before your first senior interview.
Which industries hire the most senior ai software engineers in Los Angeles?
The sectors hiring the most senior ai software engineers in Los Angeles are Technology & Software, Healthcare & Medical Services, and Biotechnology & Pharmaceuticals, based on current listings on Migrate Mate as of November 2026. Los Angeles's unusual combination of entertainment, aerospace, and healthcare infrastructure drives demand across industries that rarely converge in other cities, creating openings for engineers who can apply AI across diverse problem domains.
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