Gen AI Engineer

Gen AI Engineer

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Consulting Point

At a Glance

  • Tasks: Design and develop AI-powered applications using cutting-edge Generative AI models.
  • Company: Join a leading global consultancy transforming businesses with innovative technology.
  • Benefits: Flexible hybrid working, professional growth opportunities, and a culture of ethical innovation.
  • Other info: Collaborate with experts and shape the future of agentic AI in a dynamic team.
  • Why this job: Make a real impact by scaling AI solutions that solve complex business challenges.
  • Qualifications: Experience in full-stack development and proficiency in Python, TypeScript, and cloud environments.

The predicted salary is between 60000 - 80000 £ per year.

We are looking for GenAI and Agentic Engineers to join a leading global business and technology transformation consultancy within its Data Science and AI practice. This role focuses on the end-to-end design, development, and deployment of intelligent systems that combine Generative AI models, agentic frameworks, and full-stack engineering. You will work at the intersection of strategy and technology, helping clients move beyond rapid prototyping to scale production-grade AI products that solve complex business challenges.

Key Responsibilities

  • Design, develop, and deploy both front-end and back-end components for AI-powered applications, with a focus on GenAI and agentic solutions.
  • Architect agentic workflows incorporating Human-in-the-loop (HITL) gates, auditability, policy controls, and robust evaluation frameworks for regulated environments.
  • Translate business requirements into technical AI architectures, leveraging data science and analytics to deliver high-standard client outcomes.
  • Collaborate with cloud architects, data scientists, and product managers to transition early-stage PoCs into scalable MVPs and production systems.
  • Support business development activity by building AI demonstrators for client showcases and contributing technical expertise to proposals and RFPs.
  • Contribute to internal practice development through the creation of whitepapers, campaign development, and the refinement of AI service offerings.
  • Facilitate knowledge sharing and mentoring within the engineering team to maintain high delivery standards and pace.

Requirements

  • Experience operating within a major consulting firm or a high-growth industry environment with a consulting mindset.
  • Proven track record of delivering full-stack applications across the entire lifecycle, from PoC to secure, production-grade solutions.
  • Technical proficiency in Python (3.10+), TypeScript/JavaScript, and SQL.
  • Experience with backend frameworks (FastAPI, Django, or Flask) and modern frontend stacks (React.js, Next.js, Tailwind CSS).
  • Proficiency in cloud environments, specifically Azure (OpenAI, AKS) or GCP (Vertex AI), including experience with Docker and CI/CD pipelines.
  • Strong stakeholder management skills, with the ability to collaborate with both technical and non-technical client sponsors.
  • Eligibility for UK security clearance (requires 5 years of continuous UK residency).

Desirable Experience

  • Experience with Agentic frameworks such as LangChain, CrewAI, Autogen, or OpenAI Agents.
  • Familiarity with RAG pipelines, MCP, and LLM evaluation tools like LangSmith or TruLens.
  • Knowledge of software engineering best practices, including Clean Code (SOLID), TDD, and modular architecture.
  • Experience building AI-specific UX patterns, such as streaming, provenance citations, and error-recovery loops.

Why Apply?

This is an opportunity to join a specialist AI and Data Science team within a global transformation partner. You will work on high-impact projects across both public and private sectors, moving technology from experimental stages into the real world. The role offers the freedom to explore the latest models and frameworks, supported by a culture that values ethical technology and innovation. The organisation provides a clear path for professional growth, a flexible hybrid working model, and the opportunity to shape the future of agentic AI within a Tier-1 consultancy environment.

Gen AI Engineer employer: Consulting Point

Join a leading global business and technology transformation consultancy that champions innovation and ethical technology within its Data Science and AI practice. As a Gen AI Engineer, you will be part of a dynamic team dedicated to delivering impactful AI solutions, with ample opportunities for professional growth in a flexible hybrid working environment. The company fosters a collaborative culture that encourages knowledge sharing and mentorship, making it an excellent employer for those looking to make a meaningful impact in the field of AI.

Consulting Point

Contact Details:

Consulting Point Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Gen AI Engineer

Network Like a Pro

Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in AI. Building relationships can lead to job opportunities that aren't even advertised.

Show Off Your Skills

Create a portfolio showcasing your projects, especially those related to Generative AI and full-stack applications. Share it on platforms like GitHub or your personal website, and don’t forget to link it in your profiles!

Ace the Interview

Prepare for technical interviews by practicing coding challenges and system design questions. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key—show them you know your stuff!

Apply Through Our Website

Don’t forget to check out our careers page at StudySmarter! Applying directly through our site can give you an edge, as we love seeing candidates who are genuinely interested in joining our team.

We think you need these skills to ace Gen AI Engineer

Generative AI
Agentic Frameworks
Full-Stack Engineering
Python (3.10+)
TypeScript/JavaScript
SQL
FastAPI

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Gen AI Engineer role. Highlight your full-stack development experience and any relevant projects you've worked on, especially those involving Generative AI.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background aligns with our mission. Share specific examples of how you've tackled complex challenges in previous roles, particularly in consulting environments.

Showcase Your Technical Skills:Don’t forget to mention your technical proficiencies! We want to see your experience with Python, TypeScript, and cloud environments like Azure or GCP. If you’ve worked with agentic frameworks, make sure to include that too!

Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!

How to prepare for a job interview at Consulting Point

Know Your Tech Inside Out

Make sure you’re well-versed in the technologies mentioned in the job description, like Python, TypeScript, and cloud environments. Brush up on your knowledge of frameworks like FastAPI and React.js, as you might be asked to discuss how you've used them in past projects.

Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled complex business challenges using AI solutions. Think about how you transitioned from PoC to production-grade applications and be ready to explain your thought process and the impact of your work.

Understand the Business Side

Since this role sits at the intersection of strategy and technology, it’s crucial to demonstrate your understanding of how AI can drive business value. Be prepared to talk about how you’ve collaborated with stakeholders to align technical solutions with business goals.

Be Ready for Technical Questions

Expect some technical questions or even a coding challenge during the interview. Practice common algorithms and data structures, and be ready to explain your code clearly. This will show your problem-solving approach and your ability to communicate technical concepts effectively.