Data Scientist/Machine Learning Engineer

Ambush is a people first company where talented, thoughtful individuals come together to build meaningful products and lasting partnerships. We believe the best work happens when people feel supported, trusted and empowered to bring their full abilities to the table. Since 2015, because of our people first and long term mindset, we have grown into a partner relied on by some of the best companies in the world. We combine strong engineering, design and strategy with a growing strength in AI to help our clients see what is next and achieve bigger outcomes. At the heart of everything we do is our team. We collaborate, take risks, lift each other up and take pride in doing work the right way, not settling for a quick makeshift solution. If you join Ambush, you join a group of people who want you to succeed and who show up for each other every day. We believe in and expect real teamwork, a constant drive to be better, and delivering meaningful long term outcomes that we can be proud of together.

Role Summary We are seeking a highly skilled and experienced Machine Learning Engineer to design, build, and deploy cutting-edge, AI-enhanced applications. This role is primarily focused on robust backend orchestration, system integration, and leveraging large language models (LLMs) to deliver measurable business value. The ideal candidate has deep expertise in Python backend development and cloud architecture, with a passion for emerging AI frameworks and intelligent workflow design.

Key Responsibilities Prototype, develop, and deploy scalable solutions utilizing state-of-the-art frameworks, including LangChain, LangGraph, OpenAI SDK, and Vercel AI SDK, ensuring the application of AI provides clear, measurable value. Design and implement the complex backend logic and intelligent workflows required to integrate LLMs, external data sources, and contextual automation into enterprise applications. Architect and build high-performance, secure, and scalable AI-enhanced applications and microservices using Python (FastAPI). Define, develop, and maintain robust and secure API architectures for seamless internal and external system integration. Manage and optimize the deployment, scaling, and operationalization of AI services on major Cloud Platforms (GCP, AWS, or Azure), ensuring best practices for performance and security. Implement stringent backend security measures across all services and APIs.

Requirements

Expert-level proficiency in Python backend development and building production-grade applications using frameworks like FastAPI. Proven experience and deep understanding of LLM application development using LangChain, LangGraph, OpenAI SDK, and/or Vercel AI SDK. Strong background in designing and implementing scalable microservices and advanced API architectures. Hands-on experience deploying and managing backend services on a major Cloud Platform (GCP, AWS, or Azure). Expertise in implementing backend security best practices (e.g., authentication, authorization, data protection). A pragmatic approach to integrating AI, focusing on where it delivers tangible, measurable value rather than just technological novelty.