At a Glance
- Tasks: Design and develop AI solutions that make a real-world impact.
- Company: Join a leading transformation consultancy with a tech-obsessed culture.
- Benefits: Competitive salary, bonus, training budget, and hybrid working options.
- Other info: Opportunity for career growth and contribution to impactful projects.
- Why this job: Experiment with cutting-edge AI models and see your work go live.
- Qualifications: Experience in full-stack development and AI solutions.
The predicted salary is between 81000 - 99000 £ per year.
£60,000 - £80,000 base + bonus, training and a strong benefits package | Hybrid working | Office base of your choice: London, Manchester or Glasgow | Full time, permanent
If you want to build intelligent systems that actually make it into production not just proofs of concept that gather dust this is the role you've been holding out for. You'll join a highly regarded transformation consultancy where strategy, science, creativity and engineering meet, working with major public and private sector clients on Generative and Agentic AI solutions that deliver visible, real-world impact.
You'll be part of a genuinely tech-obsessed team that experiments freely, works with the newest models and agentic frameworks, and regularly presents its work at major industry events and conferences. If you thrive on rapid prototyping, scaling AI products, and being trusted to explore what's next, you'll feel right at home.
What You'll Be Doing
- Designing, developing, testing and deploying front-end and back-end components of GenAI and agentic applications within a data science and AI consulting team.
- Designing agentic workflows with HITL gates, auditability, policy controls and robust evaluation/monitoring suitable for regulated clients.
- Translating complex business challenges into AI-powered solutions using Generative AI, Agentic AI, data science and analytics.
- Collaborating with cloud architects, data scientists, product managers and business consultants to take ideas from concept to production.
- Supporting business development building AI demonstrators, contributing to proposals, RFPs, bids, client pitches and client events.
- Contributing internally through campaign development, think-tanks, whitepapers, offering development and practice growth, alongside your own funded learning, training and certifications.
What You'll Bring
- Experience gained in a major consulting firm, or in industry with a consulting mindset comfortable in a matrixed organisation and working directly with technical and non-technical client sponsors to shape requirements and build solutions.
- A track record of designing and developing full-stack applications across the entire lifecycle from early PoCs, through MVPs and testing, to secure, scalable, production-grade deployments.
- Proven delivery of solutions using traditional Machine Learning, Generative AI models and Agentic AI frameworks in client-facing environments, including data engineering in cloud environments.
- Strong Python (3.10+), TypeScript, JavaScript (ES6+), SQL and Bash.
- Front-end: React.js, Next.js (App Router & Server Components), Tailwind CSS, ShadCN UI, Redux, Zustand, Jest, Cypress plus AI product UX patterns such as streaming, review loops, provenance/citations, long-running tasks and error recovery.
- Back-end: Django (5.x+), DRF, FastAPI, Pydantic, Celery, Django Channels, Flask and RESTful APIs.
- Databases and storage: PostgreSQL, MS SQL Server, MongoDB, Firestore, BigQuery, Azure Blob Storage.
- Cloud and DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps, RBAC and cost controls.
- Solid software engineering fundamentals: Clean Code (SOLID, DRY), DDD, modular architecture, TDD and code quality tooling.
- Desirable: RAG pipelines, MCP, LLM integration (OpenAI, Gemini, Hugging Face models), LangSmith, TruLens, and agentic frameworks such as LangChain, CrewAI, Autogen, OpenAI Agents and Google ADK.
You won't need every technology on this list. A strong engineering foundation, a good cross-section of these skills, and the curiosity to pick up new tools as projects demand is what really matters.
Why You'll Want This Role
- A competitive base salary of £60,000 - £80,000 plus bonus and a comprehensive benefits package including training budget.
- Hybrid working with your choice of a London, Manchester or Glasgow office base.
- Structured training, certifications and genuine investment in your career development.
- Freedom to experiment with cutting-edge models and frameworks and see your work go live in the real world.
If you've held any of these roles or used these technologies/skills, this role could be a great fit: GenAI Engineer, Generative AI Engineer, Agentic AI Engineer, AI Engineer, AI Consultant, Machine Learning Engineer, ML Engineer, Full Stack Engineer, Full Stack Developer, Python Developer, Senior Consultant Data Science, Data Scientist, Solutions Architect AI, LLM Engineer, MLOps Engineer, AI Software Engineer, Django Developer, FastAPI Developer, React Developer, Next.js Developer, TypeScript Developer, Azure OpenAI, Vertex AI, LangChain, LangGraph, CrewAI, Autogen, OpenAI Agents SDK, Google ADK, RAG, retrieval augmented generation, MCP, LangSmith, TruLens, prompt engineering, Docker, Kubernetes, AKS, GCP, Azure DevOps, GitHub Actions, PostgreSQL, BigQuery, TDD, DDD.
Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Senior AI Consultant - Agentic AI & Generative AI employer: Artificial Intelligence Jobs
Join one of the UK's fastest-growing consumer fintechs as the Head of Data Science, where you'll have the unique opportunity to build and lead a data science function from the ground up. With a strong emphasis on employee growth, the company offers genuine career acceleration, a personal L&D budget, and an impressive benefits package including stock options and flexible holiday arrangements. Located in Central London, this hybrid role fosters a collaborative work culture that values innovation and data-driven decision-making, making it an excellent employer for those looking to make a significant impact.
Contact Details:
Artificial Intelligence Jobs Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Consultant - Agentic AI & Generative AI
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Artificial Intelligence Jobs or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Artificial Intelligence Jobs.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Artificial Intelligence Jobs.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Artificial Intelligence Jobs that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior AI Consultant - Agentic AI & Generative AI
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Artificial Intelligence Jobs.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Artificial Intelligence Jobs and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Artificial Intelligence Jobs
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Artificial Intelligence Jobs uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
