Remote C# Engineer
1 day ago
Oxford
Senior AI Engineer with deep commercial expertise in agentic AI frameworks required to lead the development and production deployment of complex, multi-agent systems. *3 month initial contract term (extensions expected) £This is a rare opportunity to blend cutting-edge AI research with hands-on, mission-critical infrastructure ownership. The role demands an engineer who is equally adept at orchestrating sophisticated LLM workflows and managing scalable, secure cloud and edge environments. Pioneering Work: Lead the charge on complex multi-agent systems using frameworks like LangGraph, pushing the boundaries of applied AI in production. Full Ownership: Own the entire lifecycle, from research and design in a Jupyter Notebook to robust, automated deployment via CI/CD pipelines. Mission-Critical Impact: Work on solutions deployed in constrained, highly secure environments, delivering reliable performance where it matters most. Influence & Mentor: Play a key role in shaping the technical direction of the product and mentoring other engineers on next-generation agentic AI best practices. This senior role sits at the nexus of AI/ML engineering and DevOps. You will be instrumental in turning high-level AI concepts into production reality. Architecting and optimizing multi-agent AI pipelines with 4+ agents for scale, reasoning, and automation. Implementing and maintaining multi-region AWS cloud infrastructure using Infrastructure as Code (IaC) tools like Terraform . Ensuring system reliability, security hardening (IAM, GuardDuty), and comprehensive observability for all AI services. Driving zero-touch deployment using CI/CD tools like GitHub Actions and Kubernetes (EKS) for both cloud and edge environments. MOD Security Clearance (or ability to obtain). Proven commercial delivery of agentic AI projects using LangGraph or equivalent frameworks with more than four agents in production. Expertise in Python for AI development and proficiency in Bash/Go for automation. Deep familiarity with core AWS services (EC2, VPC, IAM, S3, ALB/ELB, ECR/ECS). Experience in CI/CD engineering using GitHub Actions or Argo CD . Prior research or applied experience in edge AI or constrained/offline deployment scenarios. Proficiency in building RESTful services to expose AI pipelines. Experience with advanced cloud orchestration tools like AWS Karpenter and observability tools like Prometheus . No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. SEO Keywords for Search Senior AI Engineer, Full-Stack AI, Agentic AI, LangGraph, LangChain, Multi-Agent System, Large Language Models, LLMs, Machine Learning, MLOps, Data Scientist, Artificial Intelligence, AWS, Terraform, Kubernetes, EKS, Docker, Containerisation, Python, Go, Bash, CI/CD, GitHub Actions, Argo CD, Edge AI, Offline AI, MOD Clearance, Security Clearance, Sagemaker, Kubeflow, ZenML, AI Architect, Solution Architect.