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- Tasks: Design and build cutting-edge AI systems for enterprise clients.
- Company: Join OmniforceAI, a leader in AI automation consultancy.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Why this job: Make a real impact by working on innovative AI projects.
- Qualifications: Experience in AI systems, strong Python skills, and teamwork.
- Other info: Work in a small team with direct influence on company success.
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 Cambridge employer: OmniforceAI
Contact Detail:
OmniforceAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Agentic Engineer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks 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. We love seeing what you can do, so make it shine!
✨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 compliance in past projects. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love when candidates take that extra step to connect directly with us.
We think you need these skills to ace AI Agentic Engineer in Cambridge
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.
✨Speak Their Language
During the interview, remember that you might be talking to non-technical stakeholders. Practice explaining complex concepts in simple terms. This will demonstrate your ability to communicate effectively and ensure everyone is on the same page when discussing solutions.
✨Showcase Your Portfolio
Have your portfolio or GitHub ready to share. Highlight projects that are relevant to the role, especially those involving LLMs or working in regulated industries. This gives them a tangible sense of your skills and what you can bring to the table.
✨Prepare for Client Scenarios
Think about potential technical discovery calls you might have with clients. Prepare to discuss how you would scope and architect solutions based on their needs. This shows that you understand the client-facing aspect of the role and are ready to hit the ground running.