H-1B Visa Genai Software Engineer Jobs
GenAI Software Engineer roles sit squarely within H-1B 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.
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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:
Freddie Mac Enterprise Risk organization is seeking a hands-on Software Engineer Tech Lead (Gen AI) to lead the design and development of cutting-edge Generative AI (Gen AI) Agents, Agentic Workflows, RAG pipelines, and Gen AI Applications that solve complex business problems. This role requires advanced proficiency in Python-based microservices for the orchestration layer deployed to AWS EKS (Kubernetes). You will serve as a tech lead and a hands-on engineer, working alongside Gen AI scientists, product managers, and data engineers to shape and implement enterprise-grade Gen AI solutions.
Key Responsibilities:
- Design and implement scalable Full Stack Gen AI Agents, Agentic Workflows, RAG pipelines and applications to address diverse and complex business use cases.
- Design and deploy Python-based microservices for robust orchestration and integration with Gen AI Large Language Models (LLMs).
- Collaborate with Gen AI scientists to integrate machine learning models such as LLMs, RAG, and multi-modal AI into the application architecture.
- Implement solutions leveraging modern design patterns and best practices for full stack development.
- Build and maintain RESTful APIs to enable seamless communication between different system components.
- Collaborate with cross-functional teams of full stack engineers, data engineers and Gen AI scientists to build full-stack Gen AI experiences.
- Integrate Gen AI solutions with enterprise platforms via API-based methods and standardized patterns.
- Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for production-ready deployment.
- Lead DevOps initiatives, including CI/CD pipelines, to ensure scalable and efficient deployment of Gen AI applications.
Our Impact:
At Freddie Mac, we are at the forefront of technological innovation, developing AI solutions that transform complex business challenges into streamlined, automated processes. By leveraging cutting-edge AI Agents, Agentic Workflows, and Gen AI Applications, we enable businesses to enhance their operational efficiency, make data-driven decisions, and unlock new opportunities for growth. Our commitment to integrating advanced technologies like LLMs and multi-modal AI into enterprise solutions ensures that we remain leaders in the AI industry, delivering impactful and sustainable results for our clients.
Your Impact:
As a Software Engineer Tech Lead (Gen AI), your role is pivotal in shaping the future of AI-driven business solutions. You will have the opportunity to design and develop scalable applications that integrate sophisticated AI models, directly influencing how businesses operate and succeed. Your expertise in Python-based microservices will be crucial in creating robust quality-controlled frameworks for Gen AI solutions that will help with Governance Approvals. By collaborating with Gen AI scientists, UX designers, and other cross-functional teams, you will drive the implementation of enterprise-grade Gen AI solutions, ensuring they meet the highest standards of performance and reliability.
Qualifications
- Bachelor's degree in computer science, Computer Engineering, IT or a related field. Advanced studies/degree preferred.
- 8-10 years overall software development experience
- 2+ years hands-on experience in GenAI solutions, including experience with LLMs (OpenAI, Anthropic, AWS Bedrock, etc.)
- 2+ year building RAG systems using vector DBs
- 1+ year with agentic frameworks (Lang Graph, Lang Chain, etc.)
- 5+ years in cloud development leveraging AWS, REST, microservices
- Strong Python, Typescript, and Java experience
- Background in ML Ops and CI/CD
- Experience building enterprise or customer-facing GenAI products
- Demonstrated ability to work in cross-functional agile teams.
- Experience with CI/CD practices and DevOps methodologies
Keys to Success in this Role:
Technical Proficiency: Demonstrate deep expertise in Python for creating microservices. Your ability to design and implement scalable solutions will be essential.
Quality and Compliance: Establish and enforce validation frameworks and procedures to ensure production-ready deployment of Gen AI solutions.
Collaboration: Work effectively with Gen AI scientists, UX designers, product managers, and data engineers to build comprehensive Gen AI experiences. Strong communication skills and a team-oriented mindset will be key.
Innovation and Problem-Solving: Employ modern Gen AI based design patterns and best practices to solve complex business problems. Your innovative approach will help integrate Gen AI into application architectures successfully.
Agility and Adaptability: Thrive in a fast-paced, agile environment. Your flexibility and ability to adapt to new challenges and technologies will ensure the continuous improvement of our AI solutions.
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: 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 $165,000 - $247,000 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.
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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.
Genai Software Engineer jobs are hiring across the US. Find yours.
Find Genai Software Engineer JobsGenai Software Engineer H-1B Visa: 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.
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