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- Tasks: Design and optimise multi-agent AI systems, deploying them securely in cloud and edge environments.
- Company: Join a fast-growing tech company at the forefront of AI innovation.
- Benefits: Enjoy rapid career progression, flexible hours, and a hybrid working model.
- Why this job: Shape the future of AI while working on cutting-edge projects that make a real impact.
- Qualifications: Experience with agentic AI frameworks and strong Python skills required.
- Other info: Inclusive team culture where everyone can be their authentic self.
The predicted salary is between 36000 - 60000 £ per year.
Contract - Outside IR35
3 Days a Week Onsite in Harwell Campus
Initial 3 Month Contract with scope to extend
Role Overview
My client is seeking a full-stack AI/ML engineer with deep expertise in agentic AI frameworks such as LangGraph (or equivalent) and proven commercial experience building complex, multi-agent systems with more than at least four agents. This role blends cutting-edge AI research with hands-on deployment leadership. You will design and optimise agent-based AI pipelines, deploy them into cloud and edge environments, and own the infrastructure that keeps them secure, scalable, and cost-efficient. You will be as comfortable in a Jupyter Notebook as you are in a Terraform config, with the ability to turn research ideas into production systems that run reliably in constrained environments.
Key Responsibilities
- AI & Agentic Development
- Architect, build, and optimise multi-agent AI systems using LangGraph or similar frameworks.
- Integrate LLMs into agent workflows for search, reasoning, and automation at scale.
- Conduct applied research in LLMs, NLP, and agent orchestration, with a focus on edge and offline deployments.
- Build production-ready ML pipelines from ingestion to inference.
- Infrastructure & Deployment
- Implement and maintain multi-account, multi-region AWS environments using IaC (Terraform, Helm, CloudFormation).
- Manage Kubernetes clusters (EKS/OpenShift), service meshes, and container registries.
- Implement GitHub Actions / Argo CD pipelines for automated, zero-touch deployments.
- Lead security hardening efforts using GuardDuty, CloudWatch, IAM best practices.
- Set up observability stacks for proactive monitoring and performance tuning.
- Own backup, disaster recovery for services that you've created.
- Cross-Functional & Process
- Collaborate closely with other engineers, product managers and CTO.
- Mentor engineers on agentic AI design best practices.
- Present technical findings and research outcomes to technical and non-technical stakeholders.
You will be working at the intersection of advanced AI research and real-world infrastructure, shaping how my client brings agentic AI systems to production in challenging environments. If you thrive on building multi-agent systems, deploying them securely at scale, and experimenting with new ways to run AI at the edge, you'll find both the technical depth and creative freedom you're looking for here.
Required Skills & Experience
- MOD Security Clearance (or ability to obtain).
- Commercial experience delivering LangGraph or equivalent agentic AI projects with more than four agents in production.
- Strong grasp of multi-agent orchestration, memory, and tool integration.
- Proficiency in Python for AI development and Bash/Go for automation.
- Familiarity with AWS core services (EC2, VPC, IAM, S3, ALB/ELB, CloudFront, ECR/ECS, Elastic Beanstalk, Control Tower).
- Familiarity with IaC (Terraform, Terraform Cloud, CloudFormation) and expertise in containerisation (Docker, Docker Compose).
- Solid CI/CD engineering with GitHub Actions and/or Argo CD.
Preferred / Bonus
- Research experience in edge AI or constrained/offline deployments.
- MLOps experience (Sagemaker, Kubeflow, ZenML).
- Experience building RESTful services around AI pipelines.
- ISO 27001, NIST SSDF, OWASP SAMM, or GDPR compliance literacy.
- Experience with AWS Karpenter, Prometheus, or similar observability stacks.
Soft Skills
- Research-driven mindset, eager to experiment and iterate.
- Able to bridge the gap between cutting-edge AI research and practical deployment.
- Strong communicator with the ability to mentor and influence across teams.
- Comfortable owning projects from concept through production deployment.
Benefits include:
- Rapid career progression and personal growth
- Opportunity to shape the future of a fast-growing, successful, early-stage business
- Flexible working hours
- Hybrid working model
My client is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.
AI Engineer in Didcot employer: MarkIT Placements
Contact Detail:
MarkIT Placements Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Didcot
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI space. Attend meetups, webinars, or even just chat with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving multi-agent systems or agentic AI frameworks. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your experience with AWS, Terraform, and Python, but also practice explaining complex concepts in simple terms. Remember, communication is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Engineer in Didcot
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with multi-agent systems and frameworks like LangGraph. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills: When detailing your experience, be specific about the technologies you've used, especially in AI development and cloud environments. Mention your proficiency in Python, AWS services, and any IaC tools you've worked with. This helps us see your hands-on experience.
Highlight Collaboration Experience: Since this role involves working closely with other engineers and stakeholders, share examples of how you've collaborated in past projects. We love seeing candidates who can bridge the gap between technical and non-technical teams!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it, plus you’ll get all the latest updates from us!
How to prepare for a job interview at MarkIT Placements
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific technologies mentioned in the job description, like LangGraph and AWS services. Brush up on your Python skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Projects
Prepare to talk about your previous experience with multi-agent systems. Have examples ready that demonstrate your ability to architect and optimise AI pipelines, especially those involving more than four agents. Real-world applications will impress!
✨Be Ready for Technical Questions
Expect deep technical questions related to agentic AI frameworks and deployment strategies. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with both technical and non-technical stakeholders.
✨Demonstrate Your Collaborative Spirit
This role involves working closely with other engineers and product managers. Be prepared to discuss how you’ve collaborated in the past, mentored others, and contributed to team success. Highlight your communication skills and teamwork experiences.
