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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 building 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 Edinburgh employer: OmniforceAI
Contact Detail:
OmniforceAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Agentic Engineer in Edinburgh
✨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. Attend meetups, webinars, and conferences 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 compliance and security in past projects. This will show you're not just a coder but someone who understands the bigger picture.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Tailor your application to highlight your experience with AI agent systems and how you can contribute to our team at OmniforceAI.
We think you need these skills to ace AI Agentic Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Agentic Engineer role. Highlight your experience with AI systems, Python skills, and any orchestration frameworks you've worked with. We want to see how your background aligns with what we're looking for!
Showcase Your Projects: Don’t forget to include links to your portfolio or GitHub! We love seeing real examples of your work, especially projects that demonstrate your ability to build AI agent systems. This is your chance to shine and show us what you can do!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your technical skills and experiences. Remember, we want to understand your expertise without getting lost in jargon, so make it easy for us to see your value.
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. Plus, it shows us you're keen on joining our team at OmniforceAI!
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, orchestration frameworks, and LLMs. 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 challenges and regulatory 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 compliance in AI systems. This shows your genuine interest in the position and helps you assess if it's the right fit for you.