Remote Genai Software Engineer Jobs
Remote Genai Software Engineer jobs are open across the US at companies hiring remotely, from entry-level roles at remote-first startups to senior roles on large distributed teams, with employers like Airbnb, Nvidia, and Liftoff hiring right now. See the openings below and apply to the ones that match your experience.
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As a Lead QA Engineer with GenAI & Automation experience (Insurance) , you will make an impact by driving end-to-end quality assurance strategy and execution for next-generation applications, including GenAI-based solutions. You will be a valued member of the QA and Engineering team and collaborate closely with product owners, development teams, offshore QA teams, and business stakeholders.
In this role, you will:
Define and implement QA strategies, test plans, and automation frameworks for UI, API, and GenAI-driven applications
Lead testing efforts for end-user applications, integrations, and AI-powered bots, ensuring high-quality releases
Identify automation opportunities, establish test coverage, and select appropriate tools and frameworks
Collaborate with global QA teams to drive test execution, defect management, and automation development
Track and communicate test progress, quality metrics, and risks through dashboards and executive reporting
Work model
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in United States. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
10–15 years of experience in Quality Assurance, with at least 5+ years in test automation
Strong expertise in automation tools and frameworks such as Selenium or Playwright, including framework design and maintenance
Experience in API testing, CI/CD pipelines, and modern testing practices
Proven experience with Robot Framework and Playwright for UI automation
Solid understanding of testing fundamentals: test strategy, test planning, and defect management processes
Domain expertise in Property & Casualty insurance, including property claims and claims processing
Hands-on experience in UI and integration testing
Experience working with Oracle databases and PL/SQL
Exposure to GenAI implementations in QA, including GitHub Copilot adoption and usage
Experience testing AI models, AI bots, or GenAI-based applications
Strong communication, collaboration, and stakeholder management skills
These will help you stand out
Experience designing QA strategies specifically for GenAI bots or AI-driven solutions
Hands-on expertise in GenAI agent development
Experience driving QA governance across distributed/global teams
Strong analytical mindset with a data-driven approach to quality and continuous improvement
Ability to manage multiple priorities in a fast-paced, agile environment
Salary and Other Compensation:
The annual salary for this position is between $71,100– $112,500 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans
Benefits:
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.
- Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
As a Lead QA Engineer with GenAI & Automation experience (Insurance) , you will make an impact by driving end-to-end quality assurance strategy and execution for next-generation applications, including GenAI-based solutions. You will be a valued member of the QA and Engineering team and collaborate closely with product owners, development teams, offshore QA teams, and business stakeholders.
In this role, you will:
Define and implement QA strategies, test plans, and automation frameworks for UI, API, and GenAI-driven applications
Lead testing efforts for end-user applications, integrations, and AI-powered bots, ensuring high-quality releases
Identify automation opportunities, establish test coverage, and select appropriate tools and frameworks
Collaborate with global QA teams to drive test execution, defect management, and automation development
Track and communicate test progress, quality metrics, and risks through dashboards and executive reporting
Work model
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in United States. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
10–15 years of experience in Quality Assurance, with at least 5+ years in test automation
Strong expertise in automation tools and frameworks such as Selenium or Playwright, including framework design and maintenance
Experience in API testing, CI/CD pipelines, and modern testing practices
Proven experience with Robot Framework and Playwright for UI automation
Solid understanding of testing fundamentals: test strategy, test planning, and defect management processes
Domain expertise in Property & Casualty insurance, including property claims and claims processing
Hands-on experience in UI and integration testing
Experience working with Oracle databases and PL/SQL
Exposure to GenAI implementations in QA, including GitHub Copilot adoption and usage
Experience testing AI models, AI bots, or GenAI-based applications
Strong communication, collaboration, and stakeholder management skills
These will help you stand out
Experience designing QA strategies specifically for GenAI bots or AI-driven solutions
Hands-on expertise in GenAI agent development
Experience driving QA governance across distributed/global teams
Strong analytical mindset with a data-driven approach to quality and continuous improvement
Ability to manage multiple priorities in a fast-paced, agile environment
Salary and Other Compensation:
The annual salary for this position is between $71,100– $112,500 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans
Benefits:
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.
- Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
See All 11 Remote Genai Software Engineer Jobs
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Find JobsRemote Genai Software Engineer Job Market
Who's Hiring
- Airbnb2
- Nvidia2
- Liftoff1
- Cognizant1
- Reddit1
Top Industries Hiring
- Technology & Software4
- Hospitality & Tourism2
- Electronics & Hardware2
- Media & Entertainment1
- Transportation & Logistics1
What Employers Look For
The qualifications that appear most often in remote genai software engineer jobs.
- Proficiency in Python and experience with LLM APIs such as OpenAI, Anthropic, or open-source models
- Hands-on experience building or deploying retrieval-augmented generation pipelines
- Familiarity with vector databases such as Pinecone, Weaviate, Chroma, or pgvector
- Experience with orchestration frameworks including LangChain, LlamaIndex, or semantic kernel
- Strong foundation in machine learning concepts, model evaluation, and prompt engineering
- Bachelor's or master's degree in computer science, machine learning, or a related engineering field
Tips for Your Remote Genai Software Engineer Job Search
Tailor your resume to model stacks
Recruiters scanning genai engineer resumes look for specific model families and orchestration frameworks. Name the exact tools you've worked with, such as LangChain, LlamaIndex, or OpenAI APIs, and tie each to a concrete output like latency reduction or accuracy improvement.
Show evaluation benchmarks you've built
Hiring teams increasingly ask how candidates measure model quality beyond user feedback. If you've built eval harnesses, defined ground-truth datasets, or run A/B experiments on prompt variants, describe that process explicitly. Many applicants skip this and it differentiates you quickly.
Apply early to roles that fit
Migrate Mate lists genai software engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target job descriptions by deployment context
Some roles focus on inference optimization and cost control, others on prompt engineering pipelines, and others on RAG architecture for enterprise search. Filter openings by the deployment context closest to your experience so your application speaks directly to what the team is actually building.
Prepare a live demo or notebook walkthrough
Technical screens for genai roles often move faster than traditional coding rounds. Having a Jupyter notebook or hosted demo that shows a real RAG pipeline, fine-tuned model, or agent loop lets you anchor the conversation in working code rather than abstract explanations.
Negotiate scope before you negotiate pay
Genai engineering roles vary widely in autonomy, model access, and infra ownership. Before accepting an offer, confirm whether you control model selection, whether the team runs evals consistently, and what the compute budget looks like. Scope mismatches surface within the first month.
Remote Genai Software Engineer Jobs: Frequently Asked Questions
How do I get a remote genai software engineer job?
Target companies that already run distributed teams, since they hire remotely by default and know how to onboard someone they never meet in person. Remote genai software engineer employers screen hard for self-direction and clear written communication on top of the core skills, so show evidence you can own work without someone over your shoulder. Apply to the openings above that match your experience.
Which companies hire remote genai software engineers?
Companies hiring remote genai software engineers include Airbnb, Nvidia, and Liftoff, based on current remote listings on Migrate Mate as of June 2026. Remote-first firms and large companies running distributed teams post the most remote genai software engineer roles.
Can you get a remote genai software engineer job with no experience?
Yes, but it is harder than an on-site role, because remote work expects you to operate independently from the start. Entry-level remote genai software engineer openings do exist, especially at remote-first companies, and a portfolio of real work helps more than a long resume. Applying broadly to the roles that fit improves your odds.
Do you need a degree for remote genai software engineer jobs?
Not always. Many employers hire remote genai software engineers on demonstrated skills and prior work rather than a specific degree, though some larger companies still prefer one. Showing relevant results matters more than a credential for most remote genai software engineer roles.
Which industries hire the most remote genai software engineers?
Most remote genai software engineer openings sit in Technology & Software, Hospitality & Tourism, and Electronics & Hardware, per current remote listings on Migrate Mate as of June 2026. These sectors run distributed teams and hire genai software engineers remotely most consistently.
See All 11 Remote Genai Software Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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