Agentic AI Engineer

Agentic AI Engineer

Full-Time 60000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and build intelligent AI systems for real-world applications.
  • Company: Fast-growing AI product consultancy with a focus on innovation.
  • Benefits: Competitive daily rate, remote work, and potential for full-time transition.
  • Why this job: Join a cutting-edge team and make an impact in the AI industry.
  • Qualifications: Strong Python skills and experience with agentic AI systems.
  • Other info: Dynamic remote environment with opportunities for career growth.

The predicted salary is between 60000 - 84000 £ per year.

We're working with a fast-growing AI product consultancy building production-grade AI software for clients across multiple industries. They're looking for an Agentic AI Engineer to design and build intelligent, autonomous systems that power real-world AI products.

You'll be shipping software, helping clients design and implement robust RAG pipelines and agentic workflows that scale.

Contract: 3 month contract > FTE transition

Location: Remote (UK/EU)

Rate: £300-375 | €350-430 p/day

Start Date: ASAP

What You'll Be Doing:

  • Designing and building agentic AI systems for client-facing AI products
  • Creating RAG pipelines (retrieval, indexing, embeddings, orchestration) tailored to different use cases
  • Developing agentic workflows (multi-agent, tool-using, decision-making systems)
  • Writing clean, production-ready Python code
  • Integrating LLMs with external data sources, APIs, vector databases, and tools
  • Working closely with product and engineering teams to turn AI concepts into deployable software
  • Improving reliability, observability, and performance of AI systems in production

Essential Skills/Experience:

  • Strong Python experience (production-level, not notebooks only)
  • Hands-on experience building Agentic AI systems
  • Solid understanding of agentic workflows (planning, tool use, memory, orchestration)
  • Proven experience building RAG pipelines end-to-end
  • Experience with LLM frameworks
  • Experience working with vector databases
  • Comfortable designing AI systems for real clients and real users

If you're interested, apply now for immediate consideration.

Agentic AI Engineer employer: Oscar Associates (UK) Limited

Join a dynamic and innovative AI product consultancy that prioritises employee growth and collaboration in a remote work environment. With a focus on cutting-edge technology and real-world applications, you'll have the opportunity to work on impactful projects while enjoying competitive rates and the flexibility of remote work across the UK and EU. The company fosters a culture of creativity and support, ensuring that you can thrive as an Agentic AI Engineer and contribute to the development of intelligent systems that make a difference.
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Contact Detail:

Oscar Associates (UK) Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Agentic AI Engineer

✨Tip Number 1

Network like a pro! Reach out to people in the AI field, especially those who work with agentic systems. Use platforms like LinkedIn to connect and engage with industry professionals; you never know who might have a lead on your dream job!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects related to agentic AI systems and RAG pipelines. This will give potential employers a taste of what you can do and set you apart from the competition.

✨Tip Number 3

Prepare for interviews by brushing up on your Python skills and understanding of agentic workflows. Be ready to discuss your past experiences and how they relate to the role. Practice common interview questions to boost your confidence!

✨Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on new listings and get your application in early to increase your chances of landing that Agentic AI Engineer role.

We think you need these skills to ace Agentic AI Engineer

Python
Agentic AI Systems
RAG Pipelines
Agentic Workflows
LLM Frameworks
Vector Databases
Software Development
System Integration
Performance Optimisation
Observability
Collaboration with Product Teams
Client-Focused Design

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Python and agentic AI systems. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building intelligent systems and how your background makes you a perfect fit for our team at StudySmarter.

Showcase Your Projects: If you've worked on any cool AI projects, include them in your application! We love seeing real-world examples of your work, especially if they involve RAG pipelines or agentic workflows.

Apply Through Our Website: For the best chance of getting noticed, make sure to apply through our website. It helps us keep track of applications and ensures you’re considered for the role as soon as possible!

How to prepare for a job interview at Oscar Associates (UK) Limited

✨Know Your Python Inside Out

Since strong Python experience is essential for the Agentic AI Engineer role, make sure you brush up on your production-level coding skills. Be ready to discuss specific projects where you've written clean, efficient code and how you've tackled challenges in those projects.

✨Showcase Your AI Systems Knowledge

Prepare to talk about your hands-on experience with agentic AI systems. Think of examples where you've designed or built these systems, and be ready to explain the workflows and decision-making processes involved. This will demonstrate your understanding of the role's requirements.

✨RAG Pipelines Are Key

Since you'll be creating RAG pipelines tailored to different use cases, come prepared with examples of how you've built these pipelines from end to end. Discuss the tools and frameworks you used, and how you ensured their reliability and performance in production.

✨Collaboration is Crucial

This role involves working closely with product and engineering teams, so be ready to share experiences where you've collaborated effectively. Highlight how you communicated complex AI concepts to non-technical stakeholders and how you contributed to turning ideas into deployable software.

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