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- Tasks: Lead the development of AI solutions that enhance automotive dealership operations.
- Company: C-4 Analytics is a dynamic digital marketing firm focused on boosting automotive sales.
- Benefits: Enjoy unlimited PTO, career development programs, and flexible work options (remote, hybrid, or office).
- Why this job: Make a real impact with cutting-edge AI tech while collaborating with diverse teams.
- Qualifications: 3+ years in AI/ML, strong prompt engineering skills, and proficiency in Python required.
- Other info: Competitive salary starting at $150,000, negotiable based on experience.
The predicted salary is between 42000 - 84000 £ per year.
Job Description
Senior AI Engineer: 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. We are currently hiring for a Senior AI Engineer as we look to expand our team and support our growing roster of local clients.
Who We\’re Looking For: Senior AI Engineer – Remote
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. 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:
- 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 chatbot agents for company-wide insights.
- Implement test-driven prompt engineering to design, optimize, and refine prompts for accurate and relevant AI-driven interactions.
- 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.
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:
- At least 3 years of proficiency in AI and machine learning technologies, particularly LLMs.
- 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 skills in 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.
- Knowledge of LangChain, LangGraph, LlamaIndex, Vector Databases (i.e., OpenSearch, ElasticSearch), RAG, ETL.
This role requires a blend of technical expertise, strategic thinking, and collaborative skills to effectively integrate AI solutions and drive business value.
Flexibility:
The Senior 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.
- Remote: We support remote work arrangements, allowing you to work from the comfort of your own home.
- Hybrid: For those who prefer a balance between office and remote work, we offer a hybrid model.
Compensation:
We offer a competitive compensation commensurate with experience and qualifications. The starting annual on-target earning for this position is $150,000.00. 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.
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
C-4 Analytics takes the guesswork out of advertising. We provide real value to our clients because we value them as partners. We are results-driven and our strategies drive results.
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Senior AI Engineer employer: ZipRecruiter
Contact Detail:
ZipRecruiter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Familiarize yourself with the latest advancements in AI technologies, especially LLMs and NLP tools. Being able to discuss recent trends and innovations during your interview will demonstrate your passion and expertise in the field.
✨Tip Number 2
Showcase your experience with prompt engineering by preparing examples of how you've optimized AI interactions in previous projects. This will help you illustrate your hands-on skills and problem-solving abilities.
✨Tip Number 3
Highlight your collaborative experiences with cross-functional teams. Be ready to share specific instances where you successfully integrated AI solutions with data platforms, as this is crucial for the role.
✨Tip Number 4
Stay updated on ethical AI practices and data security measures. Being knowledgeable about these topics will not only set you apart but also align with the company's commitment to responsible AI use.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your experience with AI technologies, particularly LLMs and NLP. Include specific projects where you've integrated AI systems with data platforms, as this is crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how you envision making AI useful in real-world applications. Mention your experience with prompt engineering and collaboration with cross-functional teams.
Showcase Relevant Skills: Clearly list your programming skills in Python and familiarity with AI frameworks like TensorFlow and PyTorch. Highlight any experience with cloud platforms and data wrangling tools to demonstrate your technical expertise.
Demonstrate Strategic Thinking: In your application, provide examples of how you've developed AI strategies aligned with business goals. Discuss your approach to monitoring and optimizing AI performance for continuous improvement.
How to prepare for a job interview at ZipRecruiter
✨Showcase Your AI Expertise
Be prepared to discuss your experience with AI technologies, especially LLMs and NLP tools. Highlight specific projects where you've successfully integrated AI systems with data platforms, as this will demonstrate your technical proficiency.
✨Demonstrate Prompt Engineering Skills
Since prompt engineering is a key aspect of the role, come equipped with examples of how you've designed and optimized prompts for AI interactions. This will show your understanding of how to refine AI responses effectively.
✨Discuss Collaboration Experience
The role requires working with cross-functional teams, so be ready to share experiences where you've collaborated with engineering, data science, or product management teams. Emphasize your ability to communicate complex AI concepts to non-technical stakeholders.
✨Stay Current with AI Trends
C-4 Analytics values innovation, so demonstrate your knowledge of the latest advancements in AI, ML, and LLM technologies. Discuss any recent developments you've followed and how they could impact the automotive industry.
