Generative AI Engineer – Artificial Intelligence & Machine Learning

Are you passionate about building the future of intelligent systems? We are looking for a forward-thinking Generative AI Engineer to join a cutting-edge AI lab based in New York, NY. In this high-impact role, you’ll design and deploy next-generation generative models that power groundbreaking applications across industries. If you thrive in innovation-driven environments and are ready to shape the future of AI, this opportunity is for you.

Shape the Future of AI Innovation in New York

An industry-leading tech firm in New York, NY is seeking a Generative AI Engineer to develop and scale advanced machine learning models focused on generative applications such as text, image, and code generation. The ideal candidate will bring deep expertise in deep learning frameworks, transformer architectures, and large-scale training pipelines. If you’re driven by solving complex problems and bringing AI capabilities to life, join a team where your contributions will define the frontier of artificial intelligence.

Key Responsibilities of the Generative AI Engineer – Artificial Intelligence & Machine Learning

Model Design & Development: Architect and develop state-of-the-art generative models (e.g., transformers, VAEs, GANs) for applications such as text generation, image synthesis, and code completion. Continuously experiment with novel techniques to improve model accuracy, creativity, and efficiency.

AI Research & Innovation: Stay at the forefront of the AI field by researching emerging techniques in generative AI. Translate academic advancements into scalable solutions and actively contribute to technical papers, patents, or open-source projects when applicable.

Scalable Infrastructure & Deployment: Build robust training pipelines and inference systems using modern ML frameworks (e.g., PyTorch, TensorFlow, JAX). Optimize model performance for deployment in production environments with considerations for latency, scalability, and resource efficiency.

Data Strategy & Management: Curate and preprocess large, diverse datasets to train high-performing generative models. Implement data governance best practices, including data quality assessment, augmentation, and anonymization to ensure compliance and fairness.

Cross-functional Collaboration: Work closely with product managers, designers, data scientists, and backend engineers to integrate generative AI features into real-world applications. Translate business needs into AI-driven solutions with clear deliverables and timelines.

Performance Evaluation & Tuning: Establish rigorous evaluation metrics for generative outputs, including human-in-the-loop testing and automated benchmarks. Continuously tune models to reduce bias, improve output quality, and align with user intent.

Ethical AI & Responsible Use: Embed responsible AI principles into model design and deployment. Proactively identify and mitigate issues related to bias, misuse, and data privacy, ensuring ethical and transparent AI development.

Documentation & Knowledge Sharing: Maintain clear documentation for models, experiments, and technical decisions. Foster a culture of learning by mentoring junior engineers and contributing to internal knowledge bases or learning sessions.

Security & Compliance: Ensure AI systems meet enterprise-grade security and privacy standards. Work in alignment with legal, compliance, and security teams to handle sensitive data appropriately and protect model IP.

Continuous Learning & Adaptation: Stay current with advances in generative AI, deep learning, and foundation models. Attend industry conferences, participate in workshops, and bring back insights to keep the team ahead of the curve.

What the Client is Looking for in You

As a Generative AI Engineer, the client seeks a highly skilled and intellectually curious professional with a deep understanding of machine learning, large-scale model architectures, and real-world AI deployment. You should be a passionate technologist who thrives in solving complex problems and pushing the boundaries of what AI can do.

Deep Expertise in Generative AI and Machine Learning

The ideal candidate brings hands-on experience in building and training generative models such as GPT, DALL·E, Stable Diffusion, or similar transformer-based architectures. You should demonstrate fluency with advanced ML frameworks (like PyTorch, TensorFlow, or JAX) and a strong understanding of neural networks, attention mechanisms, and unsupervised learning techniques.

Innovative Mindset with a Research-Driven Approach

The client values engineers who are not just implementers, but creators. You should have a strong research background or a demonstrable history of experimentation and innovation—transforming theoretical advancements into practical applications. Contributions to peer-reviewed publications, open-source projects, or novel algorithms are a significant plus.

Production-Ready Engineering Skills

While a strong foundation in theory is important, your ability to ship robust, scalable, and optimized AI models in production is equally critical. The client is looking for someone with experience in developing end-to-end AI pipelines, including model training, inference optimization, evaluation metrics, and system integration.

Data-Driven Problem Solving

A strategic and analytical mindset is key. You should be confident working with large and complex datasets, designing custom loss functions, and performing performance diagnostics. Your work will involve deep dives into data to fine-tune models and ensure quality outputs that align with product goals.

Strong Communication and Cross-Team Collaboration

You’ll work closely with cross-functional teams including data scientists, software engineers, product managers, and UX designers. The client seeks someone who can explain complex AI concepts clearly and influence decisions through technical credibility and collaborative communication.

Ethical AI Awareness and Responsible Development

The client values engineers who recognize the ethical implications of AI. You should be well-versed in issues such as model bias, fairness, privacy, and responsible AI practices—and committed to building transparent, accountable systems that align with regulatory and societal expectations.

Curiosity, Agility, and Passion for Learning

AI is an ever-evolving field. The ideal candidate should demonstrate a passion for lifelong learning, staying current with cutting-edge advancements in generative AI and continuously experimenting with new ideas. A growth mindset and intellectual curiosity are essential traits the client looks for.

FAQs About the Role – Generative AI Engineer – Artificial Intelligence & Machine Learning

1. What are the key responsibilities of the Generative AI Engineer in this role?
As a Generative AI Engineer, you will design, develop, and deploy advanced generative models for use in natural language processing, image generation, code completion, and other cutting-edge applications. You’ll build robust ML pipelines, conduct model evaluations, collaborate cross-functionally with engineering and product teams, and stay on top of the latest AI research to continuously enhance model performance and ethical usage.

2. What qualifications and experience are required for this position?
The ideal candidate should have a strong background in machine learning, deep learning, or computer science, with experience implementing transformer architectures and working with large-scale datasets. Proficiency in frameworks like PyTorch, TensorFlow, or JAX is essential. A Master’s or PhD in a relevant field is preferred, but candidates with demonstrable experience in building and deploying generative models at scale are equally considered.

3. What technical skills are most important for this role?
Strong coding skills in Python, experience with training large language or diffusion models, and knowledge of GPU/TPU infrastructure are critical. Familiarity with MLOps, data engineering, model fine-tuning, and evaluation metrics for generative output is also highly valued. The client appreciates engineers who can balance innovative model design with practical deployment readiness.

4. What are some challenges I can expect in this role?
You may encounter challenges such as optimizing model performance under real-time constraints, ensuring data quality for training, addressing ethical concerns like bias and hallucination, and integrating generative models into scalable production systems. Balancing innovation with responsibility and maintaining model explainability will also be key.

5. How does this role contribute to the company’s success?
Your contributions will directly impact the company’s AI-driven products and services, influencing user experience, automation capabilities, and overall technological innovation. As part of the AI team, you’ll help shape next-generation tools and platforms that differentiate the company in the market.

6. What is the company’s work culture like?
The company promotes a collaborative, intellectually stimulating, and research-oriented work culture. Engineers are encouraged to explore bold ideas, share findings, and contribute to open-source or research publications where appropriate. Continuous learning, experimentation, and cross-functional teamwork are core to their mission.

What Remuneration Can You Expect from This Job?

As a Generative AI Engineer based in New York, NY, you can expect a highly competitive compensation package reflective of your specialized expertise in artificial intelligence and machine learning. Given the strategic importance of this role in driving AI innovation, the total remuneration is designed to attract top-tier engineering talent in a high-demand field.

1. Base Salary

The base salary for Generative AI Engineers typically varies based on experience, company size, and the complexity of AI projects. In New York, the annual base salary generally ranges from $140,000 to $220,000, with top-tier companies or senior-level roles offering upwards of $250,000.

2. Performance-Based Bonuses

Most roles include annual performance bonuses based on both individual contribution and company-wide results. These bonuses typically range from 10% to 30% of the base salary, with higher percentages available at senior levels or in high-impact positions.

3. Equity & Stock Options

Given the rapid growth and innovation in the AI space, many companies offer equity compensation in the form of stock options or restricted stock units (RSUs). These are designed to align long-term incentives and can be a substantial component of your total compensation—especially in startups, growth-stage companies, or tech giants with robust AI initiatives.

4. Long-Term Incentive Plans (LTIPs)

For mid- to senior-level roles, companies may offer long-term incentive plans that reward sustained contributions and innovation. These can include milestone bonuses, patent bonuses, or additional equity grants tied to project or business outcomes.

5. Comprehensive Benefits Package

Generative AI Engineers typically receive a full suite of competitive benefits, such as:

Health, dental, and vision insurance
401(k) or retirement plans with company match
Paid time off, parental leave, and wellness programs
Continuing education support and conference allowances
Home office stipends or hybrid work flexibility
Commuter benefits or relocation assistance, if applicable

6. Signing Bonuses & Relocation Assistance

In high-demand markets like New York, many companies offer signing bonuses ranging from $10,000 to $50,000, particularly for candidates with rare skill sets or experience in foundation model development. Relocation assistance may also be included for non-local hires.

Total Compensation Potential

With base salary, bonuses, equity, and other incentives, total annual compensation for a Generative AI Engineer in New York can range from $160,000 to over $350,000, depending on seniority, company size, and scope of responsibility. Top performers in leading AI-focused firms or unicorn startups may earn even more.

How to Apply

If you are a passionate and highly skilled engineer with hands-on experience in generative AI, we invite you to apply for the Generative AI Engineer – Artificial Intelligence & Machine Learning position in New York, NY. This is an exciting opportunity to be at the forefront of innovation, develop next-generation AI models, and contribute to groundbreaking products in a high-impact role.

To apply, please submit your resume and a cover letter that highlights your experience in training and deploying large-scale generative models, developing ML pipelines, and collaborating with cross-functional teams. Be sure to showcase your technical expertise in deep learning frameworks, your ability to translate research into production, and your commitment to ethical and responsible AI development.

This position offers an outstanding career opportunity to work alongside world-class engineers, contribute to transformative AI projects, and shape the future of machine intelligence. Apply today to accelerate your career as a Generative AI Engineer in one of the most dynamic technology hubs in the world.

For more information or to explore similar opportunities, visit our LLM and Generative AI Engineer Recruiters Page.

Job Category: LLM and Generative AI Engineer

Job Type: Full Time

Job Location: New York

Generative AI Engineer job in New York, NY