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Genai Engineer Jobs (NOW HIRING)

We're looking for a GenAI Engineer to help build, refine, and own the generative AI systems behind Interviews Chat. You'll work on improving answer quality, relevance, and reliability in real‐world ...

GenAI Engineer

Manhattan, NY · Remote

$90K - $150K/yr

We're looking for a GenAI Engineer to help build, refine, and own the generative AI systems behind Interviews Chat. You'll work on improving answer quality, relevance, and reliability in real-world ...

Principal GenAI Engineer - Knowledge Graph & Semantic Systems Location: NYC Job Type: Full Time Employment Work Type: Onsite About the Role Turing is hiring a Principal GenAI Engineer with strong ...

GenAI Engineer

Manhattan, NY · Remote

$90K - $150K/yr

We're looking for a GenAI Engineer to help build, refine, and own the generative AI systems behind Interviews Chat. You'll work on improving answer quality, relevance, and reliability in real-world ...

... GenAI enhancements. * Implement RAG architectures by linking retrieval to generative models on cloud platforms. * Perform data analysis/feature engineering using AWS services. * Design, implement ...

Role: AI / GenAI Engineer Experience: 6+ Years Overall, including 1-2 Years Hands-on GenAI Overview We are seeking an innovative AI professional with proven experience delivering solutions using ...

AI/GenAI Engineer Job Location: Irvine, CA Job Type: Contract * Lead and conduct advanced research in AI and Generative AI to develop innovative solutions. * Design and implement machine learning ...

We are seeking a highly skilled GenAI Engineer to lead the development of cutting-edge AI solutions for a major airline client in Chicago. This role is at the intersection of traditional high ...

We are seeking a highly skilled GenAI Engineer to join our team and drive the design, development, and deployment of advanced Generative AI solutions. The ideal candidate will have a strong ...

... GenAI enhancements. * Implement RAG architectures by linking retrieval to generative models on cloud platforms. * Perform data analysis/feature engineering using AWS services. * Design, implement ...

AI / GenAI Engineer

Hartford, CT · On-site

$104K - $141K/yr

Job Summary We are seeking an experienced AI / GenAI Engineer to design, develop, and deploy intelligent GenAI and Agentic AI-driven applications. The role involves building scalable LLM-powered ...

As a Principal GenAI Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering ...

As a Principal GenAI Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering ...

As a Principal GenAI Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering ...

As a Principal GenAI Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering ...

As a Principal GenAI Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering ...

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Genai Engineer information

What are the key skills and qualifications needed to thrive as a GenAI Engineer, and why are they important?

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.

What are some typical challenges a GenAI Engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is a GenAI Engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

More about Genai Engineer jobs
What cities are hiring for Genai Engineer jobs? Cities with the most Genai Engineer job openings:
What states have the most Genai Engineer jobs? States with the most job openings for Genai Engineer jobs include:
Infographic showing various Genai Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution.

GenAI Engineer

Interviews Chat

Manhattan, NY • On-site, Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Interviews Chat is an AI platform that helps people ace their job interviews. Our Interview Copilot listens to live meetings and provides real‐time answers and suggestions. We're scaling fast, trusted by thousands of professionals worldwide, and building new products (Chrome extension, mobile app, desktop app) to reach even more users.

We're looking for a GenAI Engineer to help build, refine, and own the generative AI systems behind Interviews Chat. You'll work on improving answer quality, relevance, and reliability in real‐world interview scenarios — where outputs are used live and actually matter. This role is about shipping GenAI in production , not demos or research projects.

What You'll Do: Design and improve LLM‐powered systems used for interview answers, feedback, and suggestions. Build and iterate on prompt systems, RAG pipelines, and context assembly (resume, job description, live transcript). Evaluate model outputs and create metrics to measure quality, consistency, and regressions.

Experiment with fine‐tuning, adapters, or model routing when it meaningfully improves results. Optimize latency, cost, and reliability for real‐time usage. Work closely with product and engineering to turn GenAI capabilities into shipped features.

What We're Looking For: Strong experience building production GenAI or LLM‐powered systems. Solid understanding of prompt engineering, RAG, and evaluation techniques. Experience integrating and operating LLMs in real‐world applications.

Comfort working with ambiguity and iterating quickly based on user feedback. Strong problem‐solving mindset and product awareness. Good written communication in English.

Bonus: Experience with fine‐tuning LLMs or training adapters. Experience with Python‐based AI stacks and orchestration tools. Experience working with real‐time or low‐latency systems.

Experience in early‐stage startups or shipping AI‐heavy products. What We Offer: 100% remote work with flexible hours. Competitive salary (depending on experience).

Direct ownership of core AI systems. Small team, fast feedback loop, no bureaucracy. A chance to build proprietary GenAI systems that genuinely help people succeed in interviews.

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