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- Tasks: Design and build cutting-edge AI systems for enterprise clients.
- Company: OmniforceAI, a global leader in AI automation consultancy.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Why this job: Join a small team and make a real impact in the AI industry.
- Qualifications: Experience in AI systems, strong Python skills, and knowledge of orchestration frameworks.
- Other info: Work with international clients and enjoy a dynamic, collaborative environment.
The predicted salary is between 33000 - 40000 £ per year.
OmniforceAI is a global AI automation consultancy specialising in agentic AI systems and business transformation. We build AI agents and systems that enable real-time operational intelligence for businesses across finance, consulting, and service industries.
We are looking for an AI Agentic Engineer to support our team in designing and building production-grade AI agent systems for enterprise clients. You will work directly with clients to architect multi-agent solutions, implement co-human/co-agent workflows, and deliver systems that meet regulatory and compliance requirements.
What you’ll do:
- Design and implement multi-agent AI systems using LLMs, orchestration frameworks, and modern development tools
- Build production applications that integrate AI agents with existing business systems
- Participate in technical discovery calls with clients to scope and architect solutions
- Develop solutions for regulated industries requiring robust security and compliance
- Work with AI-assisted development tools (Cursor, GitHub Copilot) to accelerate delivery
- Collaborate with our team to establish technical standards and best practices
What we’re looking for:
- Demonstrated experience building AI agent systems that have reached production
- Strong Python skills and experience with at least one orchestration framework (LangChain, LangGraph, CrewAI, or similar)
- Experience integrating LLMs (OpenAI, Anthropic, or open-source models) into applications
- Practical knowledge of vector databases, RAG systems, and API/MCP design
- Ability to explain complex technical concepts to non-technical stakeholders
- Portfolio or GitHub examples of AI projects you’ve built
Bonus points for:
- Experience building systems for regulated industries (financial services, healthcare)
- TypeScript/JavaScript experience
- Understanding of enterprise security and compliance requirements
Role details:
- Full-time, remote position
- Salary range: £33,000-£40,000 depending on experience
- Work with international clients across UK & US
- Small team environment with direct impact on company growth
AI Agentic Engineer in Leeds employer: OmniforceAI
Contact Detail:
OmniforceAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Agentic Engineer in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, especially those who work at OmniforceAI or similar companies. Attend industry events, webinars, or meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving multi-agent systems or LLMs. Having a GitHub with your code can really impress potential employers and give them a taste of what you can do.
✨Tip Number 3
Prepare for those technical calls! Brush up on your knowledge of orchestration frameworks and be ready to discuss how you've tackled challenges in past projects. This will help you stand out during client discovery calls.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Make sure to tailor your application to highlight your experience with AI agent systems and compliance, as this will show you're a perfect fit for the role.
We think you need these skills to ace AI Agentic Engineer in Leeds
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with AI agent systems and Python in your application. We want to see what you've built, so include links to your portfolio or GitHub projects that showcase your skills!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your experience aligns with the role of AI Agentic Engineer. We love seeing candidates who understand our needs.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, especially when it comes to complex technical concepts. Make it easy for us to see your qualifications!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining our team!
How to prepare for a job interview at OmniforceAI
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI agent systems, especially those you've built in the past. Be ready to discuss specific projects and how you used Python and orchestration frameworks like LangChain or CrewAI. This will show that you’re not just familiar with the tech, but you’ve actually applied it.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous roles, particularly in regulated industries. Think of examples where you had to ensure compliance or security while developing AI solutions. This will demonstrate your ability to navigate complex requirements.
✨Communicate Clearly
Since you'll be working with clients who may not be tech-savvy, practice explaining complex concepts in simple terms. You might even want to role-play with a friend to get comfortable. This skill is crucial for ensuring everyone is on the same page during technical discovery calls.
✨Bring Your Portfolio
Don’t forget to showcase your work! Have your GitHub or portfolio ready to share during the interview. Highlight projects that align with what OmniforceAI does, especially those involving LLMs or multi-agent systems. This will give them a tangible sense of your capabilities.
