About the Role

We are seeking a Staff Engineer (AI) to join our team for a 6-9 month contract, driving the integration of AI solutions, particularly Large Language Models (LLMs), into our SaaS product suite. This role is a unique opportunity for a hands-on technical leader to act as a Subject Matter Expert (SME), advising on and implementing AI-driven features, such as conversational search tools, to enhance our product offerings. You will work closely with cross-functional teams to identify AI opportunities, integrate solutions, and ensure seamless deployment within our Node, TypeScript, React, and AWS stack. This is a backend-leaning role requiring deep AWS expertise and a proactive approach to tinkering with AI technologies.

Key Responsibilities

AI Integration and Advisory: Identify and implement AI opportunities (e.g., LLMs, conversational search) across the product suite, advising on best practices and leveraging existing AI tools without building from scratch.

Hands-On Development: Write high-quality, production-ready code in Node, TypeScript, and React, focusing on backend systems and AWS infrastructure to deliver AI-driven features.

Technical Leadership: Act as an SME in the AI space, guiding teams on integration strategies, training stakeholders, and staying abreast of market trends in AI and LLMs.

Solution Design and Implementation: Collaborate with product and engineering teams to design and deploy AI-enhanced components, ensuring alignment with business goals and technical architecture.

Infrastructure and Optimization: Manage and optimize AWS-based infrastructure for AI integrations, ensuring scalability, performance, and reliability.

Agile Contribution: Jump in and out of projects as needed, building, testing, and iterating quickly to meet tight deadlines in a dynamic environment.

Skills and Experience

Essential:

10+ years of software engineering experience, with 5+ years at a Principal or Staff Engineer level, ideally in a SaaS product environment.

Proven expertise in Node, TypeScript, React, and AWS, with a strong focus on backend development and infrastructure.

Hands-on experience integrating AI solutions, particularly LLMs, into existing products, with a track record of delivering practical AI-driven features (e.g., conversational search, automation tools).

Deep understanding of AWS services (e.g., Lambda, ECS, S3) and infrastructure management for scalable applications.

Strong advisory skills, with experience guiding teams on AI implementation strategies and staying current with AI market trends.

Comfortable in a fast-paced, hands-on role, with the ability to tinker, experiment, and deliver under tight timelines

For more infromation please apply or reach out to Scott Bimrose.