Senior AI Engineer Agentic Systems & Generative AI- Up to 100,000 - ID44272

Are you ready to build AI systems that think, reason, and act - not just predict?

Have you led the development of complex agent-based architectures with real-world impact?

Want to shape how advanced AI frameworks integrate into scalable, secure infrastructure?

Why This Role is Great

Our client - a pioneering UK-based tech organisation - is building next-generation AI systems powered by multi-agent orchestration and generative AI.

This role places you at the intersection of cutting-edge research and hands-on engineering. You'll lead the development of intelligent agents, deploy LLMs into real-world workflows, and manage scalable infrastructure that performs at the edge and in the cloud.

With the freedom to experiment, iterate, and own projects from concept to deployment, youll be part of a small, high-trust team solving big, bold problems.

What Youll Get to Work On

• Designing and building multi-agent AI architectures using frameworks like LangGraph (or similar)
• Integrating LLMs and NLP models into workflows for reasoning, automation, and search
• Leading ML pipeline development , from ingestion to real-time inference
• Deploying to cloud and edge environments using Terraform, Helm, and Kubernetes (EKS/OpenShift)
• Automating deployments via CI/CD tools such as GitHub Actions and Argo CD
• Managing infrastructure security, observability, and cost-efficiency
• Collaborating with product, research, and engineering teams and mentoring others in agentic AI

About You

Youll bring experience in both AI development and systems engineering, including:

• Commercial experience building and deploying multi-agent systems
• Strong Python development skills for AI/ML applications
• Understanding of LLM orchestration , memory, and tool usage
• Familiarity with AWS core services , cloud security, and IaC (Terraform/CloudFormation)
• Proficiency with containerisation (Docker) and Kubernetes-based environments
• A passion for experimentation , research, and bridging theory with practice

Bonus if you have:

• MLOps experience (SageMaker, Kubeflow, ZenML)
• Research or deployments in edge AI or constrained environments
• Experience building REST APIs around AI systems
• Familiarity with ISO 27001 , GDPR , or NIST SSDF

The Offer

• Permanent role with a salary of up to 100,000 , depending on experience
• Flexible hybrid working , UK-based
• A chance to work on truly advanced AI challenges in a highly technical team
• A collaborative culture where your voice and ideas matter

Apply Now

If you have relevant experience and are available to start soon, please get in touch with your CV.

Inclusive Hiring

Humand Talent and our client are committed to inclusive hiring. We encourage applications from candidates of all backgrounds, especially those historically underrepresented in tech. If you're excited about the role but unsure if you tick every box - apply anyway. We're looking for potential, not perfection.