Remote Generative AI Engineer Jobs
Remote Generative AI Engineer jobs are open across software, fintech, healthcare AI, and enterprise SaaS at remote-first firms and distributed product teams, from mid-level engineers building retrieval-augmented generation pipelines to senior architects leading model deployment. Employers hiring remotely right now include Innodata, Tiger Analytics, and Guidewire Software. Scan the live roles below and apply to whichever ones fit.
Find JobsOverview
Showing 5 of 41+ Remote Generative AI Engineer jobs
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is an opportunity to contribute to technology initiatives in a collaborative environment with opportunities for professional growth.
Job Title: Generative AI Engineer
Location: Remote
Position Type: Full-time, Direct W2 - [Not open to C2C or 1099]
Salary Range: $115,000–$165,000 Annually
Experience Required: 5+ years
Sponsorship: U.S. Citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply. Bright Vision Technologies is unable to sponsor new H-1B visa petitions for this position.
Job Summary
Bright Vision Technologies is seeking a Generative AI Engineer to design and develop applications powered by large language models and other generative models. The role will implement retrieval-augmented generation, prompt and response workflows, model evaluation, and application integrations while addressing accuracy, latency, cost, observability, and responsible-use requirements.
Key Responsibilities
Build generative AI application components using approved foundation models, model APIs, and orchestration frameworks.
Develop retrieval-augmented generation workflows using document ingestion, chunking, embeddings, and vector retrieval.
Design prompts, structured outputs, tool integrations, and conversation workflows for defined application use cases.
Create evaluation datasets and assess answer quality, relevance, hallucination risk, latency, and cost.
Integrate AI capabilities with enterprise systems and implement logging, monitoring, fallback, and feedback mechanisms.
Required Qualifications
Experience Required: typically 5+ years in software engineering or applied AI, with hands-on generative AI development; align with the approved requisition.
Strong Python programming and experience developing APIs or production application services.
Hands-on experience with large language model APIs, prompt engineering, and structured model responses.
Understanding of embeddings, vector search, document retrieval, and retrieval-augmented generation concepts.
Experience with data processing, API integration, testing, version control, and application deployment practices.
Ability to evaluate model responses and address reliability, latency, cost, and data-quality considerations.
Strong problem-solving and communication skills with attention to responsible AI implementation.
Experience working in iterative software delivery teams, participating in planning, defect triage, and release validation as appropriate to the assignment.
Preferred Qualifications
Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable orchestration tools.
Familiarity with vector databases, reranking, model evaluation frameworks, and prompt versioning.
Exposure to cloud AI services, containerization, and scalable inference architectures.
Relevant generative AI or cloud AI certification.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact Jennifer at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
8rW880dfGf
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is an opportunity to contribute to technology initiatives in a collaborative environment with opportunities for professional growth.
Job Title: Generative AI Engineer
Location: Remote
Position Type: Full-time, Direct W2 - [Not open to C2C or 1099]
Salary Range: $115,000–$165,000 Annually
Experience Required: 5+ years
Sponsorship: U.S. Citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply. Bright Vision Technologies is unable to sponsor new H-1B visa petitions for this position.
Job Summary
Bright Vision Technologies is seeking a Generative AI Engineer to design and develop applications powered by large language models and other generative models. The role will implement retrieval-augmented generation, prompt and response workflows, model evaluation, and application integrations while addressing accuracy, latency, cost, observability, and responsible-use requirements.
Key Responsibilities
Build generative AI application components using approved foundation models, model APIs, and orchestration frameworks.
Develop retrieval-augmented generation workflows using document ingestion, chunking, embeddings, and vector retrieval.
Design prompts, structured outputs, tool integrations, and conversation workflows for defined application use cases.
Create evaluation datasets and assess answer quality, relevance, hallucination risk, latency, and cost.
Integrate AI capabilities with enterprise systems and implement logging, monitoring, fallback, and feedback mechanisms.
Required Qualifications
Experience Required: typically 5+ years in software engineering or applied AI, with hands-on generative AI development; align with the approved requisition.
Strong Python programming and experience developing APIs or production application services.
Hands-on experience with large language model APIs, prompt engineering, and structured model responses.
Understanding of embeddings, vector search, document retrieval, and retrieval-augmented generation concepts.
Experience with data processing, API integration, testing, version control, and application deployment practices.
Ability to evaluate model responses and address reliability, latency, cost, and data-quality considerations.
Strong problem-solving and communication skills with attention to responsible AI implementation.
Experience working in iterative software delivery teams, participating in planning, defect triage, and release validation as appropriate to the assignment.
Preferred Qualifications
Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable orchestration tools.
Familiarity with vector databases, reranking, model evaluation frameworks, and prompt versioning.
Exposure to cloud AI services, containerization, and scalable inference architectures.
Relevant generative AI or cloud AI certification.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact Jennifer at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
8rW880dfGf
See All 41 Remote Generative AI Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Generative AI Engineer Job Market
Who's Hiring
- Innodata28
- Tiger Analytics3
- Guidewire Software2
- BV Teck1
- ZS Associates1
Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote generative AI engineer jobs.
- Proficiency in Python and deep learning frameworks such as PyTorch or JAX
- Hands-on experience fine-tuning or prompting large language models like GPT, Llama, or Gemini
- Experience building and deploying retrieval-augmented generation pipelines
- Familiarity with model serving infrastructure including APIs, containerization, and cloud platforms
- Bachelor's or master's degree in computer science, machine learning, or a related field
- Understanding of evaluation frameworks, safety considerations, and responsible AI practices
Tips for Your Remote Generative AI Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote generative ai engineer openings from across the U.S. in one place. Search by role, find listings that match your stack and seniority, and apply directly. Remote roles at strong companies fill fast, so moving early matters.
Ship a public generative AI project
Remote employers can't watch you work, so your portfolio does the proving. Build and deploy something real, whether a RAG pipeline, a fine-tuned assistant, or an LLM-powered API. Document your design decisions in a README or technical post so hiring managers see how you think.
Show async communication in your application
Remote generative ai engineer teams run on written communication. Write a clear, structured cover note that explains your approach to a recent LLM integration problem. Candidates who demonstrate precision and brevity in writing stand out immediately on distributed teams.
Prepare for remote technical screens with real tooling
Remote interviews for generative ai engineers often use shared coding environments or take-home prompts involving LangChain, OpenAI APIs, or vector store integrations. Practice explaining your retrieval and chunking strategy out loud, since async screeners and synchronous walkthroughs both test how you articulate architectural decisions.
Remote Generative AI Engineer Jobs: Frequently Asked Questions
How do I get a remote generative ai engineer job?
Remote generative ai engineer roles go to candidates who can demonstrate independent delivery, not just technical knowledge. Remote employers screen hard for async written communication, the ability to scope and ship LLM-powered features without hand-holding, and hands-on fluency with tools like LangChain, vector databases, and prompt engineering frameworks. A public GitHub repo, a deployed project, or a technical write-up of a model integration gives you a concrete edge over candidates who only list skills.
Which companies hire remote generative ai engineers?
Employers currently hiring remote generative ai engineers include Innodata, Tiger Analytics, and Guidewire Software, per current remote listings on Migrate Mate as of November 2026. Remote-first software companies, AI-native startups, and distributed enterprise teams in sectors like fintech, healthcare technology, and developer tooling tend to hire generative ai engineers without location restrictions.
Can you get a remote generative ai engineer job with no experience?
Yes, but remote entry-level generative ai engineer roles are harder to land because you're expected to ramp up and ship with minimal oversight from day one. Companies most open to junior remote candidates are early-stage AI startups and open-source-driven firms. What opens the door is a portfolio of real generative AI projects, contributions to open-source LLM tooling, or a documented personal project that integrates a foundation model into a working application.
Do you need a degree for remote generative ai engineer jobs?
Not always. Remote employers in generative AI weigh demonstrated technical ability over formal credentials more than most engineering disciplines do, partly because the field moves faster than university curricula. What matters most is provable fluency with large language models, retrieval systems, and deployment pipelines. A strong project portfolio, relevant certifications, or prior contributions to AI tooling can outweigh a missing degree at many remote-first companies.
Which industries hire the most remote generative ai engineers?
Most remote generative ai engineer openings sit in Technology & Software, per current remote listings on Migrate Mate as of November 2026. Those sectors hire generative ai engineers remotely because their product and platform teams are already distributed and built around async collaboration.
See All 41 Remote Generative AI Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs