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About This Role
Your Future is our Future
At Lumeris, we believe that our greatest achievements are made possible by the talent and commitment of our team members. That's why we are actively seeking talented and collaborative individuals who are passionate about making a difference in the healthcare industry. Join us today as we strive to create a system of care that every doctor wants for their own family and become part of a community that values its people and empowers you to make an impact.
We're excited to consider every qualified candidate authorized to work in the United States, although we are unable to sponsor visas for this role at this time.
Position:
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Senior Manager \- Software Engineering and AIPosition Summary:
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We’re seeking a Senior Manager to lead a key software and AI engineering team building the AI capabilities behind Tom, our AI\-enabled primary care platform. Reporting to the VP of Engineering, you'll combine hands\-on technical leadership — reviewing code, writing and iterating on prompts, and guiding architecture decisions — with day\-to\-day leadership of a growing team of software and prompt engineers. This role is ideal for someone who has personally built and deployed production AI systems and is ready to bring that experience to leading others.Job Description:
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Primary Responsibilities
Technical Leadership
- Lead a team of software engineers, principal engineers, and prompt engineers building the conversational AI systems behind Tom.
- Own day\-to\-day technical decisions for the team; partner with architecture on larger solution design.
- Conduct code reviews and set the standard for engineering and architectural best practices across the team.
- Coach team members on execution standards, technical growth, and career development.
Hands\-On AI \& Prompt Development
- Write, test, and iterate on production\-grade prompts powering conversational AI agents.
- Stay directly engaged in the technical work rather than directing exclusively from a distance.
- Build process and structure around the prompt development lifecycle, including requirements traceability and unit testing discipline.
Cross\-Functional Partnership
- Partner closely with Product Management to translate ambiguous, fast\-moving requirements into organized, testable delivery.
- Ensure the team stays focused on the right priorities as they evolve.
- Represent the team in informal and occasional formal settings with company leadership.
People Leadership
- Manage, coach, and develop a growing team, with technical leadership extending to broader areas of engineering.
- Support performance management, career growth, and day\-to\-day guidance for team members.
- Develops and administers schedules and performance requirements.
Qualifications
- Bachelor’s degree in computer science or equivalent.
- 8\+ years of overall software engineering experience, including 2\+ years leading a technical team.
- Must\-have hands\-on experience building and deploying production\-grade AI systems, including direct, personal experience writing and iterating on prompts running in live production environments, not solely internal or experimental use.
- Conversational AI experience strongly preferred, including AI agents, assistants, or chatbot systems that interact directly with end users.
- Healthcare industry experience or Google Cloud Platform (GCP) experience strongly preferred
- Demonstrated comfort operating in ambiguous, 0\-to\-1 environments, building new systems rather than primarily maintaining established ones.
- Advanced knowledge of professional software engineering practices across the full development lifecycle, including coding standards, code review, source control, testing, and Agile delivery.
- Strong Object\-Oriented Programming fundamentals, with experience in modern web/service architectures (REST APIs, MVC frameworks).
- Exceptional communication skills, with the ability to work effectively across technical and non\-technical stakeholders and assert a point of view when needed.
Working Conditions
- While performing the duties of this job, the employee works in normal office working conditions.
\#LI\-REMOTE
Disclaimer
- The job description describes the general nature and level of work being performed by people assigned to this job and is not intended to be an exhaustive list of all responsibilities, duties and skills required. The physical activities, demands and working conditions represent those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job duties and responsibilities.
Pay Transparency:
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Factors that may be used to determine your actual pay rate include your specific skills, experience, qualifications, location, and comparison to other employees already in this role. In addition to the base salary, certain roles may qualify for a performance\-based incentive and/or equity, with eligibility depending on the position. These rewards are based on a combination of company performance and individual achievements.
The hiring range for this position is:
$153,800\.00\-$210,650\.00
Benefits of working at Lumeris
- Medical, Vision and Dental Plans
- Tax\-Advantage Savings Accounts (FSA \& HSA)
- Life Insurance and Disability Insurance
- Paid Time Off (PTO, Sick Time, Paid Leave, Volunteer \& Wellness Days)
- Employee Assistance Program
- 401k with company match
- Employee Resource Groups
- Employee Discount Program
- Learning and Development Opportunities
- And much more...
Be part of a team that is changing healthcare!
Member Facing Position:
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No\- Not Member or Patient Facing PositionLocation:
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United StatesTime Type:
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Full timeLumeris and its partners are committed to protecting our high\-risk members \& prospects when conducting business in\-person. All personnel who interact with at\-risk members or prospects are required to have completed, at a minimum, the initial series of an approved COVID\-19 vaccine. If this role has been identified as member\-facing, proof of vaccination will be required as a condition of employment.
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Disclaimer:
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- The job description describes the general nature and level of work being performed by people assigned to this job and is not intended to be an exhaustive list of all responsibilities, duties and skills required. The physical activities, demands and working conditions represent those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individual with disabilities to perform the essential job duties and responsibilities.
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Lumeris is an EEO/AA employer M/F/V/D.
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Salary Context
This $153K-$210K range is below the median for AI Software Engineer roles in our dataset (median: $183K across 194 roles with salary data).
Role Details
About This Role
AI Software Engineers build the applications and systems that AI models run inside. They own the API layers, data pipelines, frontend integrations, and infrastructure that turn a model into a product users interact with. Every AI company needs engineers who can build the software around the AI.
The challenge is building reliable systems around inherently unreliable components. Models are probabilistic. They'll give different answers to the same question. They hallucinate. They're slow. They're expensive. Your job is to build an application layer that handles all of this gracefully while delivering a product that users trust and enjoy.
Across the 3,708 AI roles we're tracking, AI Software Engineer positions make up 7% of the market. At Lumeris, this role fits into their broader AI and engineering organization.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
What the Work Looks Like
A typical week includes: building API endpoints that serve model inference with caching and fallback logic, designing the data pipeline that feeds context to a RAG system, implementing streaming responses in the frontend, debugging a race condition in the async inference pipeline, and optimizing database queries for the vector search layer. It's full-stack engineering with AI at the center.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
Skills Required
Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.
Knowledge of vector databases, embedding APIs, and LLM integration patterns (function calling, structured outputs, retry logic) differentiates AI software engineers from general software engineers. Understanding cost optimization (caching strategies, model routing, batched inference) is valuable since inference costs can dominate application economics.
Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
Compensation Benchmarks
AI Software Engineer roles pay a median of $219,250 based on 424 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $230,000. This role's midpoint ($182K) sits 17% below the category median. Disclosed range: $153K to $210K.
Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and Research Engineer ($280,000). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.
Lumeris AI Hiring
Lumeris has 1 open AI role right now. They're hiring across AI Software Engineer. Based in US. Compensation range: $210K - $210K.
Location Context
AI roles in Austin pay a median of $214,343 across 87 tracked positions.
Career Path
Common paths into AI Software Engineer roles include Software Engineer, Full-Stack Developer, Backend Engineer.
From here, career progression typically leads toward Staff Engineer, AI Architect, Engineering Manager.
If you're a software engineer, you're already 80% there. Learn the AI integration patterns: RAG, streaming inference, function calling, structured outputs. Build a project that demonstrates you can wrap an AI model in a production-quality application with proper error handling, caching, and user experience. That's the portfolio piece that gets you hired.
What to Expect in Interviews
Technical screens look like standard software engineering interviews with an AI twist. Expect system design questions about building reliable applications around probabilistic models: handling streaming responses, implementing retry logic for API failures, and designing caching strategies for LLM outputs. Coding rounds test standard algorithms plus practical integration patterns like async processing and rate limiting.
When evaluating opportunities: Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
AI Hiring Overview
The AI job market has 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.
The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 roles).
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
The AI Job Market Today
The AI job market spans 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (102) are outnumbered by mid-level (1,705) and senior (1,469) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 432 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $300,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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