AI Engineer

The Business Gifts Co; Harwell; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A tech-driven company in Harwell is looking for a Senior Full-Stack AI Engineer to lead the development of multi-agent AI systems. This role requires expertise in agentic AI frameworks like LangGraph and experience with AWS environments. The successful candidate will architect, build, and optimise AI pipelines and infrastructure while collaborating with cross-functional teams. This position offers a flexible working model and opportunities for rapid career progression.

Benefits

Rapid career progression

Flexible working hours

Hybrid working model

Qualifications

• Experience delivering LangGraph or equivalent projects with multi-agent systems.
• Ability to manage AWS environments and handle Kubernetes clusters.
• Knowledge of AI/ML deployments and security best practices.

Responsibilities

• Architect and optimise multi-agent AI systems.
• Integrate LLMs for automation and reasoning.
• Implement AWS infrastructure using IaC.

Skills

Agentic AI frameworks expertise

Proficiency in Python

Commercial experience with LangGraph

Multi-agent orchestration

AWS core services familiarity

Tools

Terraform

Docker

Kubernetes

Job description

Senior Full-Stack AI Engineer

Contract - Outside IR35

3 Days a Week Onsite in Harwell Campus

Initial 3 Month Contract with scope to extend

Please apply for the full details.

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.

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).

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.