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- Tasks: Design and build cutting-edge AI agent 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 direct impact on innovative AI projects.
- 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 Oxford employer: OmniforceAI
Contact Detail:
OmniforceAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Agentic Engineer in Oxford
✨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. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving multi-agent systems or LLMs. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for those technical calls! Brush up on your knowledge of orchestration frameworks and AI integration. Being able to discuss these topics confidently will impress potential employers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at OmniforceAI.
We think you need these skills to ace AI Agentic Engineer in Oxford
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 match the job description. Mention specific tools and frameworks you’ve used that align with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant to the role. Make it easy for us to see why you’re a great fit!
Apply Through Our Website: We encourage you to apply directly through our website. It helps us keep track of applications better and ensures you get all the latest updates about your application status!
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 have hands-on experience.
✨Understand the Client's Needs
Before the interview, research OmniforceAI and their clients. Understand the industries they serve, especially finance and healthcare. This will help you tailor your answers to demonstrate how your skills can meet their specific regulatory and compliance requirements.
✨Showcase Your Collaboration Skills
Since you'll be working closely with clients and team members, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you explained complex technical concepts to non-technical stakeholders, as this is crucial for the role.
✨Prepare Questions
Have a few thoughtful questions ready about the role and the company. Ask about their current projects or how they approach building multi-agent solutions. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.