Senior AI Engineer

Senior AI Engineer - Wakefield, MA The ideal candidate understands the benefits of in-person teamwork and is available to work from our office a minimum of three days per week. C-4 Analytics is a fast‑growing, private, full‑service digital marketing company that excels at helping automotive dealerships increase sales, increase market share, and lower cost per acquisition. C-4 Analytics is committed to developing innovative solutions for every dealer in every market, and to providing the highest levels of accountability and customer service. We are currently hiring for a Senior AI Engineer as we look to expand our team and support our growing roster of local and national clients. If you are unable to complete this application due to a disability, contact C-4 Analytics to ask for accommodation or an alternative application process. Who We're Looking For We are seeking an AI Wizard who speaks fluent LLM and dreams in Vector Databases. As a Senior AI Engineer, you will be working with the latest in AI technology, including agent libraries, advanced LLMs and NLP tools. You'll have the opportunity and autonomy to lead the development and implementation of AI‑powered solutions. This role will focus on integrating diverse data sources, refining AI interactions through prompt engineering, and collaborating with cross‑functional teams to drive artificial intelligence adoption and innovation. You will be responsible for providing architectural decisions and opinions, gaining consensus within your team, and maintaining discipline to adhere to those practices. We are looking for a process oriented, team player who can shape and mold our AI development effort. Your work will directly impact how automotive dealerships operate and compete in their markets. If you've ever wanted to: Be the person who makes AI actually useful (not just another chatbot that tells jokes) Work with cutting‑edge tech without the "we're changing the world with blockchain" nonsense Build systems that impact real businesses and real people Never have to explain to your family why you're "still playing with computers" (because the results speak for themselves) A day in the life of a Senior AI Integration Engineer Heavily focus on individual autonomy based on Agile rituals. You’ll bring a high level of process‑related routines, understanding the scope of the work and taking initiative on execution of tasks. Working with NLP that utilizes cutting‑edge AI technologies to integrate AI‑driven insights across company systems, enhancing access to data and supporting decision‑making processes. Leverage AI technologies (LLMs) to continue development and implement agents for company‑wide insights. Implement test‑driven prompt engineering to design, optimize, and refine prompts for accurate and relevant AI‑driven interactions, ensuring AI responses are thoroughly validated for accuracy, relevance, and consistency before deployment. Integrate AI with internal and external data sources, ensuring seamless access to business‑critical data. Collaborate with engineering, data science, product management, and operations teams. Assist in data architecture, preparation, and sanitization for effective use by AI models. Develop AI strategies aligned with business goals and objectives. Monitor and optimize AI performance for continuous improvement. Advise on AI adoption and identify areas for efficiency and innovation. Ensure ethical use of AI, maintaining data security, privacy, and compliance. Stay current with advancements in AI, ML, and LLM technologies. Consistently evaluate and improve the software development lifecycle. The Tech Toybox includes: