Senior AI Engineer

C-4 Analytics•Wakefield, MA

19h•$130,000 - $160,000•Hybrid

About The Position

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. 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.

Requirements

At least 3 years of proficiency in AI and machine learning technologies, particularly LLMs.
Familiarity with SOLID principles of software development
Experience with the Agile methodology of software development
Strong experience with prompt engineering and NLP tasks.
Proven experience integrating AI systems with data platforms (databases, data lakes, APIs).
Familiarity with data wrangling and preparation tools.
Programming skill Python and experience with AI frameworks (TensorFlow and PyTorch).
Experience with cloud platforms (AWS, Google Cloud, etc).
3+ years of professional experience working in agile teams and SDLC for AI projects.
Understanding of AI observability frameworks
LLMs, Vector Databases (i.e. OpenSearch, ElasticSearch), RAG, ETL

Responsibilities

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