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- Tasks: Lead the development of AI solutions for automotive dealerships using cutting-edge technology.
- Company: C-4 Analytics is a dynamic digital marketing firm focused on driving sales for automotive dealerships.
- Benefits: Enjoy unlimited paid time off, flexible working options, and competitive salary starting at $150,000.
- Why this job: Make a real impact with AI while working in a fun, innovative, and supportive environment.
- Qualifications: 3+ years in AI/ML, strong prompt engineering skills, and proficiency in Python required.
- Other info: Remote, hybrid, or office-based work options available to suit your lifestyle.
The predicted salary is between 42000 - 84000 ÂŁ per year.
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: Senior AI Engineer – RemoteWe 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\” nonsenseBuild systems that impact real businesses and real peopleNever 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 EngineerWorking 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, 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.The Tech Toybox includes:TensorFlow/PyTorch for those deep learning dreams️Cloud platforms to make it all floatLangchain & LlamaIndex for connecting the dotsWhat 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 skill 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.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, 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: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. We encourage candidates to discuss their salary expectations during the interview process.Working at C-4 AnalyticsWe 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 AnalyticsC-4 Analytics takes the guesswork out of advertising. We don\’t over-promise: we over-deliver. We provide real value to our clients because we really value them as partners. We love Google and Facebook, but also love Instagram and Bing. We innovate, educate and instigate. We are forward-thinking, but we learn from the past. We are results-driven and our strategies drive results. We love the practical applications of psychology to marketing, but we aren\’t above a good practical joke. We are team players, but we love to crush our competitors. We create an environment of respect and we respect the environment. We are the brains and the good looks. We are very humble. We are nerds, but cool, likable nerds. We are never gonna give you up. Never gonna let you down. We are all work and all play. We calculated that only 15.8% of visitors who started this paragraph would actually read this far down. We are C-4 Analytics.Seniority level Mid-Senior levelEmployment type Full-timeJob function Engineering and Strategy/PlanningIndustries: Advertising Services
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Senior AI Engineer employer: C-4 Analytics, LLC
Contact Detail:
C-4 Analytics, LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Familiarise yourself with the latest AI technologies, especially LLMs and NLP tools. Being able to discuss recent advancements or projects you've worked on in these areas will show your passion and expertise during interviews.
✨Tip Number 2
Network with professionals in the AI field, particularly those who have experience in automotive applications. Engaging in relevant online communities or attending industry events can help you make valuable connections that might lead to referrals.
✨Tip Number 3
Prepare to demonstrate your problem-solving skills through practical examples. Be ready to discuss how you've integrated AI systems with data platforms and the impact of your work on business outcomes.
✨Tip Number 4
Showcase your collaborative skills by highlighting experiences where you've worked with cross-functional teams. This role requires teamwork, so emphasising your ability to communicate and collaborate effectively will be beneficial.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and machine learning, particularly with LLMs and NLP. Use specific examples of projects you've worked on that demonstrate your skills in prompt engineering and data integration.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how it can transform the automotive industry. Mention specific technologies you’ve worked with, like TensorFlow or PyTorch, and explain how your experience aligns with the role at C-4 Analytics.
Showcase Your Projects: If possible, include links to any relevant projects or portfolios that showcase your work with AI technologies. This could be GitHub repositories, published papers, or case studies that illustrate your expertise and contributions to previous teams.
Highlight Collaboration Skills: Since the role involves working with cross-functional teams, emphasise your collaborative experiences. Provide examples of how you've successfully worked with engineers, data scientists, and product managers to implement AI solutions.
How to prepare for a job interview at C-4 Analytics, LLC
✨Showcase Your AI Expertise
Be prepared to discuss your experience with AI technologies, particularly LLMs and NLP. Highlight specific projects where you've successfully integrated AI systems and the impact they had on business outcomes.
✨Demonstrate Prompt Engineering Skills
Since prompt engineering is a key part of the role, come equipped with examples of how you've designed and optimised prompts for AI interactions. Discuss the challenges you faced and how you overcame them.
✨Familiarise Yourself with Their Tech Stack
Research C-4 Analytics' use of TensorFlow, PyTorch, and cloud platforms. Be ready to discuss your experience with these tools and how you can leverage them to enhance their AI solutions.
✨Emphasise Collaboration and Communication
As the role involves working with cross-functional teams, be prepared to share examples of how you've effectively collaborated in previous roles. Highlight your ability to communicate complex AI concepts to non-technical stakeholders.
