About the job
The Senior AI Engineer at Acquisition plays a pivotal role in developing and implementing advanced AI systems that drive tangible business results. This position is focused on transforming AI capabilities into effective solutions, steering clear of mere prototypes.
As part of a dynamic Technology team, you will design and deploy sophisticated AI workflows that seamlessly integrate with internal tools, data systems, and user-facing applications. You will take innovative ideas from conception to production, emphasizing reliability, efficiency, and practical application.
This is a hands-on role where you will be coding on a daily basis, iterating rapidly, and engaging directly with cutting-edge AI technologies. A deep understanding of the operational behavior of large language models (LLMs) in production is crucial.
Key Responsibilities
- Design and deploy AI agents that effectively address business challenges across Acquisition's suite of products.
- Develop comprehensive AI workflows, encompassing tool utilization, memory management, orchestration, and system integration.
- Write and uphold high-quality code using Python and TypeScript for AI applications and services.
- Integrate LLMs within internal systems, APIs, and data sources, prioritizing reliability and performance.
- Assess, analyze, and refine agent behavior through prompt iteration, tool design, and structured evaluation methodologies.
- Collaborate closely with product and engineering teams to prioritize, develop, and swiftly iterate on AI features.
Qualifications
- Demonstrated experience in building and deploying AI agents or LLM-driven systems in production settings.
- Proficiency in Python and/or TypeScript for creating scalable applications and integrations.
- Hands-on experience with contemporary AI development tools such as Claude Code, Cursor, or equivalent.
- In-depth understanding of designing AI workflows, including tool use, memory, and orchestration techniques.
- Able to transition quickly from concept to operational systems with minimal supervision.
- Exceptional communication skills and sound judgment when collaborating across engineering and business divisions.
