Senior AI Engineer

CV-Library
Birmingham, West Midlands (County)
17 months ago
Applications closed

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Senior AI Engineer
LLM Systems & Workflow Automation
Birmingham/Solihull (Hybrid/Flexible) with remote working options
Salary: £70,000 - £110,000 depending on experience

My client is a technology company focused on leveraging Artificial Intelligence (AI) to drive transformative change across multiple industries. The team is working on cutting-edge projects that harness the power of LLMs and advanced agentic AI to deliver real-world, impactful solutions. They are looking for a Senior AI Engineer with deep expertise in AI architecture, advanced front-end development, and scalable AI systems to join the dynamic team.

As a Senior AI Engineer, you will take ownership of designing and building LLM-powered systems and agentic AI solutions. You’ll work with advanced technologies such as OpenAI, Anthropic, and others, applying them to specific business problems, including workflow automation and agentic AI systems for verticals. You’ll be responsible for both the architecture and implementation of these systems, ensuring they scale effectively and meet complex business needs.

Key Responsibilities:

  • Design and build advanced LLM-powered solutions, specifically focusing on workflow automation and agentic AI systems tailored for specific verticals.

  • Use advanced agentic AI design to apply abstracted AI models (e.g., OpenAI, Anthropic) to achieve complex business and functional objectives.

  • Work with front-end frameworks (preferably Angular, but React or similar considered) to build intuitive, UX-focused interfaces that integrate seamlessly with backend AI systems.

  • Architect and implement advanced event-driven microservices patterns using TypeScript, AWS Lambda, and DynamoDB.

  • Develop and optimise multi-step feedback loops, prompt engineering, and AI system designs to enhance AI-driven decision-making processes.

  • Build systems with an understanding of the underlying mechanics of LLMs and AI models, going beyond using frameworks to understanding and manipulating them at a deep level.

  • Drive the design and implementation of systems with high scalability, performance, and maintainability.

  • Collaborate closely with cross-functional teams to ensure successful delivery of AI solutions.

  • Identify and drive continuous improvements in existing systems and architectures.

    Required Skills & Experience:

  • Proven experience designing, building, and scaling LLM-powered systems, specifically for workflow automation and agentic AI applications.

  • Expertise in advanced agentic AI design, utilising abstracted models (e.g., OpenAI, Anthropic) to achieve business functionality.

  • Strong front-end development skills, ideally in Angular (React or other modern frameworks considered), with a focus on UX design and advanced coding practices.

  • Expertise in TypeScript, AWS Lambda, DynamoDB, and advanced event-driven microservices architecture.

  • Deep understanding of AI model implementation and optimisation, particularly with large language models (LLMs).

  • Advanced problem-solving abilities with a focus on building robust, scalable AI systems.

  • Proven experience with cloud infrastructure (AWS, GCP, or Azure) and distributed computing systems for large-scale AI solutions.

  • Ability to mentor and lead teams in architecting AI solutions.

    Desirable Skills:

  • Experience with Natural Language Processing (NLP) and related technologies.

  • Familiarity with agile methodologies and collaborative work environments.

  • Knowledge of specific industry verticals (e.g., healthcare, finance, logistics) is advantageous but not required

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What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.