Principal AI Engineer - Intelligent Systems

Principal AI Engineer - Intelligent Systems: C-4 Analytics

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 Principal 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: Principal AI Engineer

We are in search of a visionary AI leader well-versed in the intricacies of advanced AI technologies and with expertise in designing and building AI powered products and frameworks. In this role, you will serve as a mentor and leader within the AI team. You’ll play a critical role in the development and implementation of Intelligent Systems. You will have the opportunity to lead the integration of diverse data sources, enrich AI interactions through prompt engineering, and collaborate with multidisciplinary teams to accelerate AI adoption and foster innovation. Your insights and contributions will play a vital role in reshaping the operations and competitive edge of automotive dealerships.

You:

• Are someone who is ready to be a critical senior member of a ML / AI team focused on creating data insight capabilities using a large variety of datasets
• Take pride in AI craftsmanship, applying deep knowledge of algorithms to continuously improve and innovate solutions
• Aspire to work with top level talent solving a wide range of complex and unique challenges that have real world impact
• Enjoy exploring relevant technology stacks to find the best fit for each problem. 
• Appreciate the opportunity to present our work at relevant technical conferences. 

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 Principal AI Integration Engineer 

• Designing and implementing cutting-edge NLP solutions from discovery to production. Leveraging advanced AI technologies to streamline the integration of AI-generated insights across various organizational systems, enhancing data accessibility and decision-making processes.
• Utilizing AI technologies such as advanced LLMs to develop and deploy intelligent agents for delivering comprehensive insights company-wide.
• Employing programmatic prompt engineering best practices to create, optimize, and fine-tune prompts for precise and contextually relevant AI interactions, ensuring rigorous scrutiny of AI responses for accuracy, pertinence, and consistency before deployment.
• Seamlessly integrating AI with internal and external APIs to ensure smooth access to mission-critical data.
• Crafting AI strategies aligned with organizational objectives and aspirations.
• Overseeing and enhancing model performance to continually elevate operational efficiency and accuracy.
• The ideal candidate will have a passion for designing and building agentic systems with tool calling capabilities.
• Providing strategic counsel on AI adoption and identifying avenues for operational optimization and innovation.
• Ensuring ethical AI utilization by upholding data security, privacy, and regulatory compliances.
• Staying current of advancements in AI, machine learning, and advanced LLM technologies.

The Tech Toybox includes::

• 🛠️ Modern AI Frameworks | Advanced LLMs & NLP tools
• 🧠 TensorFlow/PyTorch for those deep learning dreams
• ☁️ Cloud platforms to make it all float
• 🔗 Langchain & LlamaIndex for connecting the dots

What you’ll need to succeed:

• A minimum of 5 years in AI and Machine Learning technologies, with a focus on advanced LLMs.
• Extensive experience in programmatic prompt engineering and NLP tasks.
• Proven track record of integrating AI systems with diverse data platforms (databases, data lakes, APIs).
• Demonstrated expertise in Python programming and libraries such as (TensorFlow, PyTorch, Keras, LangChain, and Hugging Face Transformers).
• Hands-on experience with leading cloud platforms (e.g., AWS, Google Cloud, etc.).
• More than 5 years of professional experience in collaborative, agile teams and Software Development Lifecycle (SDLC) practices tailored to AI projects.
• LangChain, LangGraph, LlamaIndex, Vector Databases (e.g., OpenSearch, ElasticSearch), RAG, ETL
• Proven experience in designing and building agentic systems with tool calling capabilities

This role requires a blend of technical expertise, strategic thinking, and collaborative skills to effectively integrate AI solutions and drive business value.

Flexibility:

The Principal AI Engineer may benefit from the flexibility to work in a way that suits them best. We offer the following working options:

• Office-Based: Our modern and well-equipped office space provides a collaborative environment where you can work closely with teams, engage in face-to-face interactions, and foster a sense of community.
• Remote: We understand that some individuals thrive in a remote working setup. As such, we support remote work arrangements, allowing you to work from the comfort of your own home or any location that enhances your productivity.
• Hybrid: For those who prefer a balance between office and remote work, we offer a hybrid model. This allows you to divide your time between working in the office and remotely, providing the best of both worlds.

Compensation:

Compensation: We offer a competitive compensation commensurate with experience and qualifications. The starting annual on-target earning for this position is $180,000.00. The final salary will be determined based on factors such as skills, knowledge, and demonstrated expertise.

Please note that the stated salary range is flexible and negotiable based on individual qualifications and fit for the role. We encourage candidates to discuss their salary expectations during the interview process.

Working at C-4 Analytics

We provide our employees with a range of benefits, including career development programs, unlimited paid time off, and additional perks. All are welcome to visit our careers and culture page for more details. 

More About C-4 Analytics