Search for Generative AI Engineer roles in the United States, requiring 3+ years of experience, with strong skills in Python and PyTorch, focusing on multimodal AI systems, and full-time positions.

Okay, I've searched for Generative AI Engineer roles in the United States that require 3+ years of experience, strong skills in Python and PyTorch, focusing on multimodal AI systems, and offering full-time positions. I have found 112 positions for you.

Generative AI Engineer

United States

3 years + Experience

Python

PyTorch

Full Time

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The primary purpose of the Generative AI Engineer role is to spearhead the development and practical application of advanced generative artificial intelligence models, such as LLMs and multimodal systems, which can significantly enhance product offerings. This position involves not just technical expertise in designing and implementing AI models but also collaboration across departments to ensure that these innovations align with specific business goals. By focusing on building robust model pipelines and optimizing performance through techniques like prompt engineering and retrieval-augmented generation, the engineer plays a critical role in transforming cutting-edge research into tangible, effective applications. Success in this role involves delivering scalable and efficient models that drive real-world outcomes while navigating the complexities of integrating these technologies into existing systems. Candidates must possess a balanced skill set that includes strong programming abilities alongside a thoughtful understanding of AI ethics, as responsible development and bias detection are emphasized as vital components of the role.

Company Analysis:

Mondo operates as a leading staffing agency specializing in high-end technology and digital marketing talent, positioning itself strategically in a competitive industry. This focus equips the company with a unique perspective on the qualifications and competencies required in the tech space, highlighting an appreciation for not only technical expertise but also the ability to address complex hiring challenges for various clients—from mid-sized organizations to VC-backed startups. The culture likely prioritizes speed, efficiency, and adaptability, aligning with its mission to deliver the right candidates swiftly. The Generative AI Engineer will be expected to thrive in this fast-paced environment, working alongside a cross-functional team, meaning the role is inherently collaborative and will require excellent communication skills. Given the company's emphasis on fulfilling urgent hiring needs, this position is crucial for ensuring that their technological capabilities keep pace with client demands and market trends, making it a strategic hire to support Mondo’s growth objectives in the rapidly evolving AI landscape.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to design a machine learning model under a tight deadline. What challenges did you face, and how did you overcome them?
Describe your experience with prompt engineering. Can you provide an example of how you've optimized a model's performance using this technique?
How do you approach ensuring responsible AI development in your projects? Can you share a case where you addressed ethical considerations?
What strategies do you employ when collaborating with cross-functional teams to convey complex AI concepts to non-technical stakeholders?
How would you build a pipeline for training and deploying a new generative model? What steps would you prioritize?
Can you explain the differences between using PyTorch and TensorFlow for your projects? In what scenarios would you choose one over the other?
Imagine you are tasked with integrating a generative AI model into an existing product that is experiencing scalability issues. What steps would you take to address this?
Suppose you find that your AI model is producing biased outputs. What would be your approach to identify and mitigate this issue?
Why are you interested in working for Mondo specifically, and how do you see your role as a Generative AI Engineer contributing to the company's mission?
How do your personal values align with the emphasis Mondo places on responsible AI development?
What is the latest advance in generative AI research that you find most exciting, and how might it influence the work you would do in this role?
Can you share your experiences with version control and MLOps practices in your previous projects?
What questions do you have for us about the Generative AI Engineering team and its role within Mondo?
How do you stay current with advancements in AI/ML, and can you name a recent trend that you believe will impact the industry?

Job Details

Overview Company

Generative AI Engineer

Mondo

6 days ago

Highlight

RemoteFull-time3+ yearsMid

Summary

Mondo is seeking a Generative AI Engineer to join their team remotely in the United States. The role involves developing and deploying advanced generative models, including large language models, diffusion models, and multimodal AI systems.

About the Role

As a Generative AI Engineer, you will design, fine-tune, and evaluate generative models for text, image, audio, and code generation. You will build and maintain robust pipelines for training, inference, and model evaluation using frameworks like PyTorch and Hugging Face Transformers. Your responsibilities include applying prompt engineering and retrieval-augmented generation techniques, integrating generative AI into real-world products, and collaborating with cross-functional teams to define use cases and prototype MVPs. You will also stay updated on the latest research in generative AI and ensure responsible AI development.

About You

Required:

Bachelor’s or Master’s in Computer Science, Machine Learning, Data Science, or related field (PhD is a plus).
3+ years of experience in machine learning or deep learning, with a focus on generative models or LLMs.
Strong programming skills in Python, with experience using PyTorch, TensorFlow, and libraries like Transformers, Diffusers, or LangChain.
Experience with model training, fine-tuning, evaluation, and deployment in cloud environments (AWS, GCP, or Azure).
Familiarity with MLOps practices and tools for managing model versions, pipelines, and infrastructure.

Preferred:

Experience with LLM fine-tuning, LoRA, RLHF, or prompt engineering techniques.
Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS) and RAG architectures.
Background in multimodal models (e.g., combining text, image, or video).
Contributions to open-source projects or published work in AI/ML.

Mondo

As the largest, national staffing agency specializing exclusively in high-end, niche IT, Tech, and Digital Marketing talent, staffing is more than just our job. It’s our passion.

For nearly two decades, we’ve changed how to approach hiring needs for contract, contract-to-hire, and full-time Tech and Digital Marketing talent. As a result of our MAP mindset and proprietary process, we boast an unmatched fulfillment ratio of 75% and an average placement time of 3-5 days for contract roles and 5-10 days for full-time roles. Because we believe you deserve the right candidates the first time around.

We help solve the most challenging talent gaps at midsize to enterprise-level companies every single day, along with recently VC-funded startups facing mass hiring challenges and organizations facing urgent hiring needs. When you partner with Mondo, you never have to question if you’ll find the right candidate. With a network of 1.4M+ high-end, niche Tech experts, 100+ connected industry-specific Tech Recruiters, and 10 offices nationwide, we’ve got your hiring needs covered.

To learn more about how we can help you, visit www.mondo.com. Connect with us on Twitter and Instagram at @Mondo_Agents, and find us on Facebook!

United States