Senior AI Engineer

C-4 Analytics, LLC
Wakefield, UK
12 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
£150,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Application Integration Architecture Cloud Computing Computer Programming Databases Data Architecture Data Security Python (Programming Language) Machine Learning Performance Tuning
+14 more
Systems Development Life Cycle Blockchain Tensorflow Systems Integration Data Processing Google Cloud Pytorch Large Language Models Prompt Engineering Deep Learning Data Lakes Data Analytics Build Tools Data Management

Job description

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, 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 dreams
  • ️Cloud platforms to make it all float
  • Langchain & LlamaIndex for connecting the dots, 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.

Requirements

  • 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.

Benefits & conditions

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.

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