At a Glance
- Tasks: Design and deploy cutting-edge AI solutions for software engineering and DevOps.
- Company: Fast-growing tech company recognised for innovation in AI and cloud solutions.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Exciting projects with leading enterprises and excellent career advancement potential.
- Why this job: Join a dynamic team and shape the future of AI in software development.
- Qualifications: Experience in Generative AI, AWS, Python, and strong DevOps knowledge required.
The predicted salary is between 63000 - 77000 £ per year.
About us
Intuitive.
AI is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale.
Intuitive is an \"Engineering Company\" delivering measurable value and key business outcomes.
Intuitive Superpowers
- Data Ops & AI/ML
- Cloud Native, App Sec Ops, Dev Sec Ops
- Cloud Migration & Transformation
- Cloud Fin Ops
- Cybersecurity (App/Data/Infra) & GRC
- SDx & Digital Workspace
We are proud to partner with some of the world's leading enterprises and serve 200+ customers across different industry verticals.
We have achieved many milestones along the way, including being recognized as a top-10 fast-growth 150 IT company in the Americas by CRN in 2022 and being named one of America's fastest-growing private companies by INC 5000 in 2022.
That's not all!
Even CIO Review awarded us as the Most Promising Cloud Migration Company and Artificial Intelligence Solutions Provider in 2022.
About the job
- Title: AI/ML Engineer – Agentic AI & Dev Ops Solutions
- Position Type: Full Time
- Focus: Agentic AI, AWS Bedrock, Multi-Agent Systems, Dev Ops Automation & Agent Ops
- Job Summary
We are looking for an experienced AI/ML Engineer / Gen AI Engineer to help build and deploy enterprise-grade agentic AI solutions for software engineering and Dev Ops operations.
The role will focus on developing the agentic platform foundation and building solutions that can automate and enhance code development, merge-request reviews, CI/CD, deployments, environment management, and operational workflows.
The ideal candidate combines strong hands-on experience in Generative AI, AWS, Python, multi-agent architectures, and modern Dev Ops practices.
Key Responsibilities
- Design, develop, and deploy agentic AI and multi-agent solutions using AWS.
- Build agent orchestration and agent-to-agent workflows using Lang Graph, Strands, or similar frameworks.
- Develop AI agents using Amazon Bedrock and Bedrock Agent Core.
- Implement tool/function calling, agent memory, context management, and long-running agent workflows.
- Build RAG and knowledge-based capabilities to provide agents with relevant engineering and operational context.
- Develop AI-powered coding and software engineering agents.
- Build agents to support code generation, code analysis, and merge/pull request reviews.
- Integrate agents with Git-based development workflows such as Git Hub, Git Lab, or Bitbucket.
- Develop operations agents for deployment, environment management, troubleshooting, and disaster recovery.
- Integrate agentic capabilities into existing CI/CD pipelines and Infrastructure-as-Code environments.
- Use AI to improve developer productivity and automate repetitive engineering and operational tasks.
- Implement security, governance, monitoring, and observability using AWS IAM, Guardrails, and Cloud Watch.
- Deploy infrastructure using AWS CDK / Cloud Formation.
- Work closely with Dev Ops, Platform Engineering, Cloud, and Software Engineering teams.
- Required Technical Skills
- Strong hands-on experience with Generative AI / Agentic AI.
- Experience with Amazon Bedrock and foundation models.
- Experience with Amazon Bedrock Agent Core or equivalent agent platforms.
- Strong Python programming experience.
- Experience with multi-agent architectures and frameworks such as Lang Graph or Strands.
- Experience with RAG, Knowledge Bases, embeddings, and vector search.
- Strong understanding of Dev Ops and CI/CD practices.
- Hands-on experience with Git, Git Hub, Git Lab, or Bitbucket.
- Experience with Infrastructure as Code, preferably Terraform, AWS CDK, or Cloud Formation.
- Experience with AWS services such as IAM, Cloud Watch, VPC, and Secrets Manager.
- Understanding of AI security, guardrails, prompt injection, and secure AI application development.
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or a related field.
- Strong software engineering and Dev Ops fundamentals.
- Experience taking Gen AI/Agentic AI solutions from prototype to production.
- Strong analytical, problem-solving, and communication skills.
AI/ML Engineer – Agentic AI & DevOps Solutions in York employer: Intuitive.ai
At Intuitive.AI, we pride ourselves on being a leading employer in the tech industry, offering a dynamic remote work environment across the UK that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a culture that values creativity and initiative, making it an ideal place for AI/ML Engineers to thrive and contribute to cutting-edge solutions. Join us and be part of a fast-growing company recognised for its excellence in cloud and AI technologies, where your contributions will directly impact our global enterprise customers.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Engineer – Agentic AI & DevOps Solutions in York
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Intuitive.ai or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Intuitive.ai.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Intuitive.ai.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Intuitive.ai that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI/ML Engineer – Agentic AI & DevOps Solutions in York
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Intuitive.ai.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Intuitive.ai and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Intuitive.ai
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Intuitive.ai uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
