H-1B Visa Forward Deployed Software Engineer Jobs
Forward Deployed Software Engineers work embedded at client sites, building and customizing software in real time. Employers filing H-1B visa petitions for this role typically classify it under software development SOC codes, and the specialty occupation requirement is well-established given the degree-intensive nature of the work.
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Get Access To All JobsForward Deployed Engineer
Collaborate closely with customers to architect, implement, and optimize customized, AI-driven solutions that leverage Qurrent's advanced platform to revolutionize their operations and achieve their unique business goals.
Responsibilities:
- Leverage cutting-edge LLMs to build reliable systems of multi-AI agent workflows in companies
- Lead the end-to-end lifecycle of AI solution delivery, from initial customer needs assessment to successful deployment and ongoing support.
- Write Python applications that will deliver on project requirements documents, ensuring all deliverables are met on time and within budget.
- Partner with customers to identify and re-engineer business processes for optimization through AI integration, leveraging Qurrent’s advanced Operating System.
- Utilize your expertise in AI tools and Large Language Models (LLMs) to create and develop bespoke AI solutions as part of Qurrent’s engineering team.
- Develop and present demos for presales meetings to effectively communicate the potential of Qurrent’s solutions.
- Convey customer insights, driving continuous improvement of Qurrent’s Operating System.
You’ll also have the exciting opportunity to:
- Shape the future of AI Solutions at Qurrent: As a key member of the team, you’ll play a crucial role in defining how we deliver AI solutions, with opportunities to grow into leadership roles.
- Own a significant equity stake in a high-growth startup: Join us at the forefront of the AI revolution and share in the potential rewards of our success.
- Continuously learn and grow: Immerse yourself in a culture of innovation, surrounded by brilliant minds and cutting-edge technology.
Qualifications
- 6+ years of experience in building complex technical projects in Python, preferably within the AI or related technology sectors.
- Technical and conversational fluency in AI, LLMs, Machine Learning and at least one of the major clouds (AWS, GCP, Azure)
- Strong understanding of AI concepts, particularly in the use of Large Language Models (LLMs) and other AI techniques including RAG, agentic workflows, fine tuning, or other LLM-based tools.
- Proficiency in process mapping and process re-engineering, with a passion for optimizing and re-imagining workflows.
- Proficiency in full-stack software development, and/or willingness to learn new technologies and frameworks
- Experience putting ML/AI into production, and ability to talk through best practices and pitfalls.
- Experience in creating effective demos and presentations for pre-sales engagements.
- Demonstrated track record of delivering projects that exceed customer expectations.
- Strong analytical and problem-solving skills, with a proactive and results-oriented approach.
- Strong consultative and communication skills, and the ability to convey complex technical concepts to diverse stakeholders.
Bonus Points:
- Experience working with bespoke AI solutions or custom technology implementations.
- Familiarity with customer research methodologies and a passion for understanding user needs.
What We Offer:
- The opportunity to be at the forefront of the AI revolution, shaping how businesses transform through this powerful technology.
- A dynamic and collaborative work environment where your contributions have a direct impact.
- A competitive compensation package with significant equity upside.
- The chance to work on challenging and rewarding projects with a talented and passionate team.
- Continuous learning and development opportunities in a supportive environment.
Qurrent offers excellent benefits, competitive compensation packages and generous equity plans. The base salary pay range for this role is $110,000 - 200,000 USD.
Qurrent is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws.
Forward Deployed Engineer
Collaborate closely with customers to architect, implement, and optimize customized, AI-driven solutions that leverage Qurrent's advanced platform to revolutionize their operations and achieve their unique business goals.
Responsibilities:
- Leverage cutting-edge LLMs to build reliable systems of multi-AI agent workflows in companies
- Lead the end-to-end lifecycle of AI solution delivery, from initial customer needs assessment to successful deployment and ongoing support.
- Write Python applications that will deliver on project requirements documents, ensuring all deliverables are met on time and within budget.
- Partner with customers to identify and re-engineer business processes for optimization through AI integration, leveraging Qurrent’s advanced Operating System.
- Utilize your expertise in AI tools and Large Language Models (LLMs) to create and develop bespoke AI solutions as part of Qurrent’s engineering team.
- Develop and present demos for presales meetings to effectively communicate the potential of Qurrent’s solutions.
- Convey customer insights, driving continuous improvement of Qurrent’s Operating System.
You’ll also have the exciting opportunity to:
- Shape the future of AI Solutions at Qurrent: As a key member of the team, you’ll play a crucial role in defining how we deliver AI solutions, with opportunities to grow into leadership roles.
- Own a significant equity stake in a high-growth startup: Join us at the forefront of the AI revolution and share in the potential rewards of our success.
- Continuously learn and grow: Immerse yourself in a culture of innovation, surrounded by brilliant minds and cutting-edge technology.
Qualifications
- 6+ years of experience in building complex technical projects in Python, preferably within the AI or related technology sectors.
- Technical and conversational fluency in AI, LLMs, Machine Learning and at least one of the major clouds (AWS, GCP, Azure)
- Strong understanding of AI concepts, particularly in the use of Large Language Models (LLMs) and other AI techniques including RAG, agentic workflows, fine tuning, or other LLM-based tools.
- Proficiency in process mapping and process re-engineering, with a passion for optimizing and re-imagining workflows.
- Proficiency in full-stack software development, and/or willingness to learn new technologies and frameworks
- Experience putting ML/AI into production, and ability to talk through best practices and pitfalls.
- Experience in creating effective demos and presentations for pre-sales engagements.
- Demonstrated track record of delivering projects that exceed customer expectations.
- Strong analytical and problem-solving skills, with a proactive and results-oriented approach.
- Strong consultative and communication skills, and the ability to convey complex technical concepts to diverse stakeholders.
Bonus Points:
- Experience working with bespoke AI solutions or custom technology implementations.
- Familiarity with customer research methodologies and a passion for understanding user needs.
What We Offer:
- The opportunity to be at the forefront of the AI revolution, shaping how businesses transform through this powerful technology.
- A dynamic and collaborative work environment where your contributions have a direct impact.
- A competitive compensation package with significant equity upside.
- The chance to work on challenging and rewarding projects with a talented and passionate team.
- Continuous learning and development opportunities in a supportive environment.
Qurrent offers excellent benefits, competitive compensation packages and generous equity plans. The base salary pay range for this role is $110,000 - 200,000 USD.
Qurrent is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws.
See all 412+ H-1B Visa Forward Deployed Software Engineer Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Forward Deployed Software Engineer
Confirm your SOC code before applying
Forward Deployed Software Engineer roles are typically filed under software developer SOC codes. Check the O*NET profile for your exact title so you can verify the employer's LCA matches the work you'll actually perform.
Target employers with active LCA filing history
Use Migrate Mate to filter for companies that have filed LCAs for software engineering roles. Employers with consistent filing history are far more likely to move quickly through the H-1B petition process than first-time sponsors.
Document the client-site work arrangement carefully
USCIS scrutinizes third-party placement roles heavily. Your employer must show they control your day-to-day work, not the client. Ask HR how the company structures its I-129 filings for deployed engineers before accepting an offer.
Request prevailing wage verification early
Run your prospective job title and location through the OFLC Wage Search before your offer letter is finalized. The wage level on the LCA must meet or exceed the DOL prevailing wage for your SOC code and worksite, not the employer's headquarters.
Prepare a degree-to-role equivalency narrative
If your degree is in a field adjacent to software engineering, prepare a written explanation of how your coursework and experience map to the specialty occupation definition. RFEs on this point are common for forward-deployed roles with broad job descriptions.
Track the 60-day grace period if your status changes
If you lose your H-1B job between client engagements, USCIS allows a 60-day grace period to find a new sponsor or change status. Don't wait until the last week to start applications since new employer I-129 filings take time.
H-1B Visa Forward Deployed Software Engineer: Frequently Asked Questions
Does a Forward Deployed Software Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, provided the employer can demonstrate the role requires at least a bachelor's degree in a directly related field such as computer science, software engineering, or information systems. USCIS has upheld software developer roles as specialty occupations consistently, but forward-deployed positions occasionally receive RFEs asking the employer to prove they, not the client, direct your work.
How does working at a client site affect my H-1B petition?
USCIS applies extra scrutiny to H-1B petitions where the employee works at a third-party site rather than the sponsoring employer's own location. Your employer must document that they assign your tasks, evaluate your performance, and control your work product. Employers experienced in filing for deployed engineers typically have this documentation ready. Ask specifically about this before signing an offer.
Can I transfer my H-1B to a new employer if I switch Forward Deployed Software Engineer roles?
Yes. Under H-1B portability rules, you can start working for a new sponsoring employer as soon as they file a new I-129 petition, provided you've maintained valid H-1B status. The new employer must file their own LCA covering your new worksite location, which matters because prevailing wages differ by geography and SOC code.
Where can I find employers who actively sponsor H-1B visas for this role?
Migrate Mate shows verified LCA filing history for employers hiring Forward Deployed Software Engineers, so you can see which companies have an actual track record of H-1B sponsorship rather than just listing it as a possibility in a job posting. Filtering by role type and location lets you prioritize outreach to employers already familiar with the filing process.
What happens to my H-1B status if I'm benched between client deployments?
Your H-1B employer is legally required to pay your full LCA wage whether or not you're actively deployed at a client site. If the employer stops paying during a bench period, your status may be at risk. USCIS requires that you remain on payroll throughout your authorized period. If your employment ends, you have a 60-day grace period to find a new sponsor or change status.