STEM OPT Senior AI Software Engineer Jobs
Senior AI Software Engineer roles qualify for the 24-month STEM OPT extension when your degree falls under an eligible CIP code and your employer is enrolled in E-Verify. With 36 months of total OPT work authorization, you have a meaningful runway to build experience while pursuing H-1B visa sponsorship.
Find STEM OPT Senior AI Software Engineer JobsOverview
Showing 5 of 325+ Senior AI Software Engineer jobs
See all 325+ Senior AI Software Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior AI Software Engineer roles.
Get Access To All JobsINTRODUCTION
We offer a flexible working policy that supports a healthy balance between personal and professional well-being. This role requires in-office presence on Tuesdays & Thursdays to collaborate, connect, and learn from peers - while also maintaining the flexibility for meaningful work-life balance.
ABOUT THE ROLE
Being a Senior AI Software Engineer at iManage Means…
You are passionate about building and deploying AI systems that work at scale in production. You will work within the Applied AI team alongside engineers, data scientists, and product stakeholders to develop the AI capabilities that power iManage’s enterprise work platform, including Ask iManage, our generative AI document assistant, as well as document classification, extraction, and LLM-driven features that directly impact how knowledge workers search, organize, and understand their most critical information. You bring hands-on depth in both model development and the infrastructure required to ship it reliably, and you thrive at the intersection of machine learning, software engineering, and cloud infrastructure.
Responsibilities
iM Responsible For…
- Owning the end-to-end ML lifecycle for AI systems from model development and evaluation through to scalable production serving, generative AI document intelligence, and agentic system use cases
- Deploying and optimizing ML/AI systems on GPUs and Kubernetes-based cloud infrastructure, including AKS or equivalent platforms, while balancing trade-offs across scalability, latency, performance, operational complexity, and cost efficiency
- Designing and implementing production-ready LLM applications and APIs with monitoring, observability, and integration testing built in
- Applying modern engineering practices for production AI systems, including containerized services, CI/CD pipelines, model and version tracking, and release governance
- Collaborating with product and business stakeholders to translate requirements into viable technical solutions
- Conducting code reviews and providing constructive feedback to team members
- Contributing to best practices and standards for AI engineering across the team
BASIC QUALIFICATIONS
iM Qualified Because I Have…
- A Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics, or a related field
- 3+ years of experience in ML/AI engineering or software engineering
- Hands-on experience building and shipping LLM systems into production
- Deep proficiency in Python and modern AI frameworks, including PyTorch and Hugging Face
- Solid understanding of ML fundamentals including hands-on experience with both traditional ML and modern generative AI and transformer architectures
- Demonstrated experience fine-tuning language models and deploying them to production
- Experience with GPU optimization for training and inference workloads
- Experience with Kubernetes deployment on cloud infrastructure (Azure, AWS, or GCP) to optimize systems for scalability, latency, performance, and cost efficiency
- The ability to work collaboratively across teams, communicate with precision, and take ownership from prototype to production
PREFERRED QUALIFICATIONS
Bonus Points If I Have…
- Experience with distributed training frameworks (e.g., PyTorch Distributed, Ray) and inference optimization tools (e.g., vLLM, SGLang)
- Experience with agentic engineering, including agent harness and agent memory, and orchestration frameworks such as LangChain, LlamaIndex, or similar tools
- Experience with knowledge graphs and multimodal LLMs
- Familiarity with AI/ML observability tools and model lifecycle management best practices
WHAT WE OFFER
iM Getting To…
- Join a supportive, experienced team with an inclusive, encouraging, and vibrant culture.
- Have flexible work hours that allow me to balance my ‘me time’ with my work commitments.
- Collaborate in a modern open plan workspace, with a gaming area, free snacks, drinks and regular social events.
- Focus on impactful work, solving complex, real challenges utilizing the latest technologies and protocols.
- Own my career path with our internal development framework. Ask us more about this!
- Learn new skills and earn certifications with access to unlimited courses in LinkedIn Learning.
- Join an innovative, industry leading SaaS company that is continuing to grow & scale!
iManage Is Supporting Me By...
- Creating an inclusive environment where I can help shape the culture not just by fitting in, but by adding to it.
- Providing a market competitive salary that is applied through a consistent process, equitable for all our employees, and regularly reviewed based on industry data.
- Rewarding me with an annual performance-based bonus.
- Offering comprehensive Health/Vision/Dental/Life Insurance, and a 401k Retirement Savings Plan with a company match up to 4%.
- Giving access to HealthJoy, a healthcare concierge service, to help me maximize my health benefits.
- Granting enhanced leave for expecting parents; 20 weeks 100% paid for primary leave, and 10 weeks 100% paid for secondary leave.
- Providing me with a flexible time off policy to take the time off that I need. Be it for vacation, volunteering, celebrating holidays, spending time with family, or simply taking time to recharge and reset.
- Caring for my mental health and well-being with multiple company wellness days and free access to the Healthy Minds app for mindfulness, meditation and more.
COMPENSATION
The overall US annual base salary range for this position is $130,000–$170,000. Individual compensation for each candidate depends on factors such as qualifications, experience, and candidate location. This range does not include additional forms of compensation, such as bonuses, or benefits. Your recruiter will provide further details about the offer range, incentives, and overall compensation during the hiring process.
ABOUT iManage…
iManage is dedicated to Making Knowledge WorkTM. Over one million professionals across 65+ countries rely on our intelligent, cloud-enabled, secure knowledge work platform to uncover and activate the knowledge that exists inside their business content and communications.
We are continuously innovating to solve the most complex professional challenges and enable better business outcomes; Our work is not always easy but it is ambitious and rewarding.
So we’re looking for people who love a challenge. People who are happiest when they’re solving problems and collaborating with the industry’s best and brightest. That’s the iManage way. It’s how we do things that might appear impossible. How we develop our employees’ strengths and unlock their potential. How we find meaning in everything we do.
Whoever you are, whatever you do, however you work. Make it mean something at iManage.
iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
INTRODUCTION
We offer a flexible working policy that supports a healthy balance between personal and professional well-being. This role requires in-office presence on Tuesdays & Thursdays to collaborate, connect, and learn from peers - while also maintaining the flexibility for meaningful work-life balance.
ABOUT THE ROLE
Being a Senior AI Software Engineer at iManage Means…
You are passionate about building and deploying AI systems that work at scale in production. You will work within the Applied AI team alongside engineers, data scientists, and product stakeholders to develop the AI capabilities that power iManage’s enterprise work platform, including Ask iManage, our generative AI document assistant, as well as document classification, extraction, and LLM-driven features that directly impact how knowledge workers search, organize, and understand their most critical information. You bring hands-on depth in both model development and the infrastructure required to ship it reliably, and you thrive at the intersection of machine learning, software engineering, and cloud infrastructure.
Responsibilities
iM Responsible For…
- Owning the end-to-end ML lifecycle for AI systems from model development and evaluation through to scalable production serving, generative AI document intelligence, and agentic system use cases
- Deploying and optimizing ML/AI systems on GPUs and Kubernetes-based cloud infrastructure, including AKS or equivalent platforms, while balancing trade-offs across scalability, latency, performance, operational complexity, and cost efficiency
- Designing and implementing production-ready LLM applications and APIs with monitoring, observability, and integration testing built in
- Applying modern engineering practices for production AI systems, including containerized services, CI/CD pipelines, model and version tracking, and release governance
- Collaborating with product and business stakeholders to translate requirements into viable technical solutions
- Conducting code reviews and providing constructive feedback to team members
- Contributing to best practices and standards for AI engineering across the team
BASIC QUALIFICATIONS
iM Qualified Because I Have…
- A Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics, or a related field
- 3+ years of experience in ML/AI engineering or software engineering
- Hands-on experience building and shipping LLM systems into production
- Deep proficiency in Python and modern AI frameworks, including PyTorch and Hugging Face
- Solid understanding of ML fundamentals including hands-on experience with both traditional ML and modern generative AI and transformer architectures
- Demonstrated experience fine-tuning language models and deploying them to production
- Experience with GPU optimization for training and inference workloads
- Experience with Kubernetes deployment on cloud infrastructure (Azure, AWS, or GCP) to optimize systems for scalability, latency, performance, and cost efficiency
- The ability to work collaboratively across teams, communicate with precision, and take ownership from prototype to production
PREFERRED QUALIFICATIONS
Bonus Points If I Have…
- Experience with distributed training frameworks (e.g., PyTorch Distributed, Ray) and inference optimization tools (e.g., vLLM, SGLang)
- Experience with agentic engineering, including agent harness and agent memory, and orchestration frameworks such as LangChain, LlamaIndex, or similar tools
- Experience with knowledge graphs and multimodal LLMs
- Familiarity with AI/ML observability tools and model lifecycle management best practices
WHAT WE OFFER
iM Getting To…
- Join a supportive, experienced team with an inclusive, encouraging, and vibrant culture.
- Have flexible work hours that allow me to balance my ‘me time’ with my work commitments.
- Collaborate in a modern open plan workspace, with a gaming area, free snacks, drinks and regular social events.
- Focus on impactful work, solving complex, real challenges utilizing the latest technologies and protocols.
- Own my career path with our internal development framework. Ask us more about this!
- Learn new skills and earn certifications with access to unlimited courses in LinkedIn Learning.
- Join an innovative, industry leading SaaS company that is continuing to grow & scale!
iManage Is Supporting Me By...
- Creating an inclusive environment where I can help shape the culture not just by fitting in, but by adding to it.
- Providing a market competitive salary that is applied through a consistent process, equitable for all our employees, and regularly reviewed based on industry data.
- Rewarding me with an annual performance-based bonus.
- Offering comprehensive Health/Vision/Dental/Life Insurance, and a 401k Retirement Savings Plan with a company match up to 4%.
- Giving access to HealthJoy, a healthcare concierge service, to help me maximize my health benefits.
- Granting enhanced leave for expecting parents; 20 weeks 100% paid for primary leave, and 10 weeks 100% paid for secondary leave.
- Providing me with a flexible time off policy to take the time off that I need. Be it for vacation, volunteering, celebrating holidays, spending time with family, or simply taking time to recharge and reset.
- Caring for my mental health and well-being with multiple company wellness days and free access to the Healthy Minds app for mindfulness, meditation and more.
COMPENSATION
The overall US annual base salary range for this position is $130,000–$170,000. Individual compensation for each candidate depends on factors such as qualifications, experience, and candidate location. This range does not include additional forms of compensation, such as bonuses, or benefits. Your recruiter will provide further details about the offer range, incentives, and overall compensation during the hiring process.
ABOUT iManage…
iManage is dedicated to Making Knowledge WorkTM. Over one million professionals across 65+ countries rely on our intelligent, cloud-enabled, secure knowledge work platform to uncover and activate the knowledge that exists inside their business content and communications.
We are continuously innovating to solve the most complex professional challenges and enable better business outcomes; Our work is not always easy but it is ambitious and rewarding.
So we’re looking for people who love a challenge. People who are happiest when they’re solving problems and collaborating with the industry’s best and brightest. That’s the iManage way. It’s how we do things that might appear impossible. How we develop our employees’ strengths and unlock their potential. How we find meaning in everything we do.
Whoever you are, whatever you do, however you work. Make it mean something at iManage.
iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
See all 325+ STEM OPT Senior AI Software Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Senior AI Software Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Senior AI Software Engineer
Verify your degree's CIP code eligibility
Check that your STEM degree maps to an approved CIP code before applying. Computer science, electrical engineering, and data science degrees typically qualify, but your DSO confirms the exact classification using your official transcript and program details.
Confirm E-Verify enrollment before accepting offers
Your employer must be enrolled in E-Verify before your STEM OPT extension is approved. Search the E-Verify employer search tool by company name to confirm enrollment status, and ask recruiters to provide the company's E-Verify ID during the offer stage.
Target employers with active H-1B LCA filings
Use Migrate Mate to filter Senior AI Software Engineer roles by employers who have filed Labor Condition Applications for AI and machine learning occupations, so you're applying to companies with a documented track record of sponsoring roles like yours.
Build your I-983 training plan around ML deliverables
Your I-983 must connect your daily work to your STEM degree field. For AI engineering roles, document specific learning goals tied to model development, data pipelines, or systems architecture. Vague plans draw scrutiny from USCIS during OPT extension adjudication.
Time your H-1B registration to your OPT end date
If your STEM OPT runs through April 1, the cap-gap rule extends your authorization automatically while your H-1B petition is pending. Map your 36-month OPT end date against the H-1B registration window to avoid gaps in employment authorization.
Negotiate role scope to match your degree field
Offers that title you as a generalist software engineer rather than an AI or ML specialist can complicate your I-983 and future H-1B specialty occupation case. Get the job description to reflect AI-specific responsibilities before signing, not after.
Frequently Asked Questions
Does a Senior AI Software Engineer role qualify for the STEM OPT extension?
Yes, if your employer is enrolled in E-Verify and your degree maps to an approved STEM CIP code. Computer science, electrical engineering, applied mathematics, and data science degrees are the most common qualifying fields for AI engineering roles. Your DSO verifies your CIP code and recommends the STEM OPT extension through SEVIS before USCIS adjudicates your I-765 application.
What does the I-983 training plan need to include for an AI engineering role?
Your I-983 must describe how your day-to-day work applies your STEM degree directly. For Senior AI Software Engineer positions, that means documenting specific learning objectives around model training, inference optimization, data infrastructure, or AI systems design. Generic descriptions like 'software development' are not sufficient. Your employer signs the plan, so align the language with your actual job responsibilities before submission.
Does my employer need to be enrolled in E-Verify before I start work on STEM OPT?
Yes. E-Verify enrollment is a hard requirement for STEM OPT authorization, not a recommendation. If your employer is not enrolled at the time your extension is approved, your STEM OPT is not valid for that position. Confirm enrollment before accepting an offer by searching the E-Verify employer database by company name, and ask the recruiter for the company's E-Verify employer identification number to be certain.
How does cap-gap work if my STEM OPT ends before October 1?
If your STEM OPT expires after your H-1B petition is filed but before October 1, the cap-gap rule automatically extends your work authorization through September 30 of that year. Your EAD card may expire, but your authorization to work for the same employer continues. USCIS confirms cap-gap status through your employer's timely filing receipt, so your employer needs to file before your OPT end date.
Where can I find Senior AI Software Engineer jobs at E-Verify enrolled employers?
Migrate Mate lists Senior AI Software Engineer roles filtered for employers with confirmed E-Verify enrollment and active Labor Condition Application filings in AI and machine learning occupations. That combination lets you target companies that are both legally eligible to hire you on STEM OPT and have already demonstrated a willingness to sponsor roles at this level.