Role overview
📍 Hybrid – New York City (open to remote U.S. candidates within commutable distance to NYC)
**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.
**Who You Are**
* 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.
**What’s on Offer**
* 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.