H-1B Visa Genai Software Engineer Jobs
GenAI Software Engineer roles sit squarely within H-1B visa specialty occupation territory, requiring at least a bachelor's degree in computer science, AI, or a related field. Employers filing LCAs for these positions typically use SOC codes tied to software development or machine learning, which affects your prevailing wage level and petition strength.
Find H-1B Visa Genai Software Engineer JobsOverview
Showing 5 of 165+ Genai Software Engineer jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 165+ Genai Software Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Genai Software Engineer roles.
Get Access To All JobsAt Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.
Position Overview
As a Software Engineer, Professional (GenAI), your role is pivotal in shaping the future of AI-driven business solutions. You will design and develop scalable applications that integrate sophisticated AI models, directly influencing how businesses operate and succeed.
In this role, you will contribute to building next-generation GenAI solutions and automation capabilities, with a focus on embedding risk awareness, controls, and governance into AI-driven systems. Your expertise in Python-based microservices will support the development of robust, quality-controlled frameworks for GenAI solutions, including those supporting governance and approval processes.
By collaborating with GenAI scientists, UX designers, and cross-functional teams, you will help deliver enterprise-grade AI solutions that meet high standards of performance, reliability, and responsible AI practices.
Our Impact
Joining us offers the opportunity to work on cutting-edge GenAI and automation initiatives, gaining hands-on experience in building enterprise-scale AI solutions. You will learn how AI is applied in real-world, regulated environments, and be part of shaping the future of AI-enabled risk management.
Your impact
Key responsibilities include designing and developing scalable GenAI applications such as copilots, automation tools, and workflow solutions, as well as building and enhancing RAG pipelines using vector databases and retrieval strategies. You will apply prompt engineering techniques to improve model performance, develop and maintain Python-based microservices and RESTful APIs, and support the automation of business and risk processes through AI-driven workflows. Additionally, you will contribute to CI/CD pipelines and DevOps practices, assist in implementing guardrails and validation mechanisms for LLM-based applications, and help embed risk and control considerations into AI solutions. Responsibilities also involve data transformation, cleansing, and preparation for AI model usage, ensuring data quality, and supporting model evaluation and continuous improvement. Collaboration with engineers, data owners, product teams, and risk partners is expected, along with participation in code reviews, design discussions, agile ceremonies, and staying current with evolving trends in LLMs, agent frameworks, and AI engineering tools.
Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, IT, or a related field (advanced degree preferred)
- 2–4 years of software development experience
- 1–2 years of hands-on experience in GenAI solutions, including LLMs (e.g., OpenAI, Anthropic, AWS Bedrock)
- Experience building RAG systems using vector databases
- Familiarity with agentic frameworks (e.g., LangChain, LangGraph, or similar)
- 2–4 years of experience in cloud development (AWS preferred), REST APIs, and microservices
- Strong programming skills in Python (experience with TypeScript/Java is a plus)
- Experience building enterprise or customer-facing AI applications
- Familiarity with CI/CD and DevOps practices
- Demonstrated ability to work in cross-functional agile teams
- Exposure to LLM guardrails, evaluation frameworks, or AI safety techniques
- Familiarity with AI governance, model risk, or responsible AI concepts
- Experience supporting quality-controlled or regulated environments
Keys to Success in This Role
- Technical Proficiency: Strong Python skills and ability to build scalable microservices
- Quality & Reliability: Deliver robust, well-tested, and production-ready solutions
- Learning Agility: Continuously develop skills in GenAI and emerging technologies
- Collaboration: Work effectively across engineering, product, and risk teams
- Attention to Detail: Ensure high-quality data, outputs, and system performance
Current Freddie Mac employees please apply through the internal career site.
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
Time-type: Full time
FLSA Status: Non-Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $94,000 - $142,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.
At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.
Position Overview
As a Software Engineer, Professional (GenAI), your role is pivotal in shaping the future of AI-driven business solutions. You will design and develop scalable applications that integrate sophisticated AI models, directly influencing how businesses operate and succeed.
In this role, you will contribute to building next-generation GenAI solutions and automation capabilities, with a focus on embedding risk awareness, controls, and governance into AI-driven systems. Your expertise in Python-based microservices will support the development of robust, quality-controlled frameworks for GenAI solutions, including those supporting governance and approval processes.
By collaborating with GenAI scientists, UX designers, and cross-functional teams, you will help deliver enterprise-grade AI solutions that meet high standards of performance, reliability, and responsible AI practices.
Our Impact
Joining us offers the opportunity to work on cutting-edge GenAI and automation initiatives, gaining hands-on experience in building enterprise-scale AI solutions. You will learn how AI is applied in real-world, regulated environments, and be part of shaping the future of AI-enabled risk management.
Your impact
Key responsibilities include designing and developing scalable GenAI applications such as copilots, automation tools, and workflow solutions, as well as building and enhancing RAG pipelines using vector databases and retrieval strategies. You will apply prompt engineering techniques to improve model performance, develop and maintain Python-based microservices and RESTful APIs, and support the automation of business and risk processes through AI-driven workflows. Additionally, you will contribute to CI/CD pipelines and DevOps practices, assist in implementing guardrails and validation mechanisms for LLM-based applications, and help embed risk and control considerations into AI solutions. Responsibilities also involve data transformation, cleansing, and preparation for AI model usage, ensuring data quality, and supporting model evaluation and continuous improvement. Collaboration with engineers, data owners, product teams, and risk partners is expected, along with participation in code reviews, design discussions, agile ceremonies, and staying current with evolving trends in LLMs, agent frameworks, and AI engineering tools.
Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, IT, or a related field (advanced degree preferred)
- 2–4 years of software development experience
- 1–2 years of hands-on experience in GenAI solutions, including LLMs (e.g., OpenAI, Anthropic, AWS Bedrock)
- Experience building RAG systems using vector databases
- Familiarity with agentic frameworks (e.g., LangChain, LangGraph, or similar)
- 2–4 years of experience in cloud development (AWS preferred), REST APIs, and microservices
- Strong programming skills in Python (experience with TypeScript/Java is a plus)
- Experience building enterprise or customer-facing AI applications
- Familiarity with CI/CD and DevOps practices
- Demonstrated ability to work in cross-functional agile teams
- Exposure to LLM guardrails, evaluation frameworks, or AI safety techniques
- Familiarity with AI governance, model risk, or responsible AI concepts
- Experience supporting quality-controlled or regulated environments
Keys to Success in This Role
- Technical Proficiency: Strong Python skills and ability to build scalable microservices
- Quality & Reliability: Deliver robust, well-tested, and production-ready solutions
- Learning Agility: Continuously develop skills in GenAI and emerging technologies
- Collaboration: Work effectively across engineering, product, and risk teams
- Attention to Detail: Ensure high-quality data, outputs, and system performance
Current Freddie Mac employees please apply through the internal career site.
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
Time-type: Full time
FLSA Status: Non-Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $94,000 - $142,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.
See all 165+ H-1B Visa Genai Software Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Genai Software Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Genai Software Engineer
Map your credentials to SOC codes
GenAI roles get filed under varying SOC codes depending on the employer. Check O*NET to confirm which occupation code aligns with your specific duties, since mismatches between your degree field and the SOC code are a common RFE trigger.
Target employers with active LCA filings
Use Migrate Mate to filter GenAI Software Engineer roles by employers who have filed recent H-1B LCAs. DOL disclosure data shows filing history by occupation, so you're not guessing which companies actually sponsor.
Verify prevailing wage before negotiating
Run the OFLC Wage Search using the relevant SOC code and your target metro area before you get to offer stage. Your offered salary must meet the certified LCA wage level, and Level I or II designations for AI roles vary significantly by location.
Document your GenAI specialization clearly
Specialty occupation requires a direct relationship between your degree and the role. If your degree is in a general field like computer science, build a portfolio that ties specific coursework or published work to large language models, RAG architectures, or transformer fine-tuning.
Ask about cap-exempt employer status early
Universities, nonprofit research organizations, and certain government-affiliated labs are cap-exempt, meaning your H-1B doesn't enter the annual lottery. If you're open to those settings, confirm cap-exempt status before the offer stage to understand your timeline.
Align your start date with the fiscal year cap
If your employer is cap-subject, USCIS opens H-1B registration in March for an October 1 start. Build your job search timeline so you have an offer in hand before the registration window closes, since missing it means waiting another full year.
H-1B Visa Genai Software Engineer: Frequently Asked Questions
Does a GenAI Software Engineer role qualify as an H-1B specialty occupation?
Yes, GenAI Software Engineer roles meet the specialty occupation standard because they require theoretical and practical application of highly specialized knowledge, typically grounded in a bachelor's degree or higher in computer science, artificial intelligence, or a closely related field. USCIS evaluates whether the specific duties, not just the job title, require that degree-level expertise.
How do I find employers actively sponsoring H-1B visas for GenAI roles?
Migrate Mate surfaces employers with verified H-1B LCA filing history filtered by occupation, so you can see which companies have sponsored roles matching GenAI Software Engineer duties. DOL disclosure data is public, but searching it manually requires downloading large datasets. Migrate Mate organizes that data so your search focuses on employers who already sponsor.
Can I transfer my H-1B to a new GenAI employer without losing my place in the queue?
Yes. Under H-1B portability rules, you can begin working for a new employer as soon as your transfer petition is filed, provided you're maintaining valid status. You don't restart the lottery. The new employer files a new I-129 petition, and if you've accumulated time on your current H-1B, that period carries over toward the six-year cap.
What SOC code do employers typically use when filing H-1B LCAs for GenAI Software Engineer positions?
Most employers file under SOC 15-1252 (Software Developers) or 15-2051 (Data Scientists), though some use 15-1299 (Computer and Information Research Scientists) for research-heavy GenAI roles. The SOC code determines the prevailing wage the employer must certify on the LCA. You can verify the most accurate match for your specific duties using O*NET before the employer files.
Does premium processing make sense for a GenAI Software Engineer H-1B petition?
Premium processing guarantees USCIS adjudicates your I-129 within 15 business days. For GenAI roles where the employer wants you to start quickly, or where your OPT or grace period is expiring, it's often worth requesting. Not all employers cover the fee by default, so it's reasonable to raise it during offer negotiation if your timeline is tight.