Role overview
We are hiring on behalf of a client seeking talented
AI/ML Engineers
to join their growing team. This is a unique opportunity to shape the future of
AI-powered products
by developing, prototyping, and deploying innovative machine learning and generative AI systems at scale. You’ll work across the full spectrum of applied AI, from data science and model development to large-scale engineering and production deployment.
Responsibilities
- Prototype and Deploy AI Solutions
- Rapidly prototype, iterate, and ship AI-powered experiences using the latest capabilities of LLMs, agent frameworks, and recommender systems.
- Architect and deploy ML/GenAI products on cloud platforms (AWS, GCP, or similar).
- Build and maintain end-to-end AI workflows including data ingestion, feature engineering, modeling, evaluation, and deployment.
- AI Engineering & Orchestration
- Design and manage ML orchestration frameworks (Airflow, Kedro, ZenML, Flyte, etc.) to ensure scalability and reproducibility.
- Integrate LLMs and data into autonomous, multi-step workflows.
- Critically review AI-generated code for correctness, performance, and engineering best practices.
- Cross-Functional Collaboration
- Partner with product, design, research, and data science teams to take ideas from concept to launch.
- Translate complex business problems into AI-driven solutions with measurable impact.
- Innovation & Best Practices
- Stay on top of cutting-edge AI research and open-source innovation, incorporating new tools and techniques into production.
- Promote responsible, ethical, and impactful AI practices.
- Share thought leadership and help build a strong engineering culture in applied AI.
- A full-stack AI prototyper with hands-on experience building projects with modern AI tools.
- Proficient in Python (plus experience with Java or Scala is a plus) and modern ML frameworks such as PyTorch, TensorFlow, scikit-learn .
- Experienced in fine-tuning, prompting, and evaluating LLMs and integrating them into production systems.
- Skilled in cloud deployment (AWS/GCP/Azure), containerisation (Docker/Kubernetes), and building scalable ML systems.
- Comfortable designing and managing end-to-end ML pipelines with tools like Airflow, Kedro, ZenML, dbt.
- Passionate about exploring emerging AI trends, open-source frameworks, and applying them to real-world challenges.
- Strong communicator, able to explain technical concepts to non-technical audiences, and thrive in collaborative, cross-disciplinary environments.
- Creative, curious, and driven with a proven ability to deliver results in fast-paced and high-growth settings.
Preferred qualifications
- Prior experience launching AI/ML products into production.
- Exposure to graph-based models, multi-agent AI systems, and generative models (LLMs, diffusion, etc.).
- Experience with data-driven decision making, A/B testing, and advanced evaluation strategies .
- Familiarity with AI coding assistants and rapid prototyping tools.
- Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc.
- Build features end-to-end using technologies like TypeScript, MongoDB, and Elasticsearch, and contribute to our compute orchestration layer powered by Temporal.
- Technical skills including familiarity with Python, GPU, AWS, API, LLM, ML, and SQL
- Experience across the stack: React, Typescript, Node, Python, etc.
- Hybrid role based in New York.
- Opportunity to shape cutting-edge AI products that reach millions of users.
- Exposure to cross-functional teams and access to strong career development resources.
- A fast-paced, innovative environment with the chance to influence technical strategy and best practices.
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Ai Machine Learning Data Science Generative Ai Pytorch Tensorflow Robotics Ai Engineer