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About the Role
As a Senior Applied AI Engineer at Oxford Dynamics, you will build and ship agentic AI systems in production, designing multi-agent pipelines, reasoning and retrieval, model integration, and the infrastructure to deploy them. This is a builder's role focused on designing and implementing systems, taking technical ownership, and making systems-level design decisions to ensure reliability and trust in demanding production environments.
Responsibilities
- Build multi-agent AI systems from the ground up, using frameworks like LangGraph or Haystack, and developing underlying orchestration, state, and tool-calling infrastructure.
- Engineer for production by writing clean, tested, maintainable code and making sound systems-level decisions, prioritizing reliability, latency, and failure behavior.
- Integrate large language and vision-language models into reasoning, search, summarization, and task-execution pipelines, building necessary retrieval, memory, and guardrails.
- Deploy systems into cloud, on-premises, and offline environments, engineering for specific security and reliability constraints.
- Build production pipelines from data ingestion through to inference, owning the entire process.
- Implement evaluation, observability, and guardrails to demonstrate system behavior, agent performance, model performance, and failure modes.
- Act as a technical authority for agentic AI, taking ownership of workstreams, defining design patterns, and setting direction for other engineers, ensuring maintainable systems and documentation.
Requirements
- Significant professional software engineering experience (typically 6+ years), including several years building LLM-based or agentic systems, with a demonstrable track record as a senior or lead engineer.
- Strong software engineering fundamentals, including writing clean, tested, production-grade code and making sound systems-level design decisions.
- Commercial experience building and owning multi-agent or agentic AI systems in production.
- Strong Python skills, with hands-on experience building on LLM frameworks (LangGraph, LangChain, Haystack, or similar) and the ability to work below the framework level.
- Experience designing and deploying AI/ML systems into real production environments.
- Solid understanding of the engineering around models, including inference, latency, performance, data pipelines, state, memory, and tool/function calling.
- Hands-on experience building and querying search and retrieval over large multi-modal datasets (3TB+ of text, imagery, telemetry, sensor data).
- Fluency with Docker, Git, and cloud platforms (AWS preferred).
- Understanding of secure deployment patterns (air-gapped, on-premises, sovereign cloud).
- A builder's mindset, capable of shipping dependable systems and explaining them clearly.
- Senior technical ownership, including end-to-end delivery, taking ownership of workstreams, setting direction, and ensuring disciplined documentation and knowledge transfer.
Skills
- Agentic AI systems
- Multi-agent systems
- LLM integration
- Python
- LangGraph
- LangChain
- Haystack
- Production deployment
- Docker
- Git
- AWS
- Secure deployment patterns
- Search and retrieval
- Multi-modal datasets
- Inference
- Latency
- Performance optimization
- Data pipelines
- State management
- Memory management
- Tool calling
- Function calling
- Evaluation
- Observability
- Guardrails
- Technical ownership
- Knowledge transfer
- Multimodal reasoning
- Edge AI deployments
- Offline AI deployments
- Kubernetes (EKS/OpenShift)
- MLOps
- Model evaluation
- Monitoring
- Reproducibility
- Agent orchestration patterns
- Inter-agent communication protocols
- Model Context Protocol (MCP)
- Secure-by-design development principles (ISO 27001, NIST, OWASP)
- Defence industry experience
- National security industry experience
- Open-source AI/ML contributions
Location
- Oxford
- London
Work Type
- Contract
- Outside IR35
- Hybrid
Experience Level
- Senior
- 6+ years professional software engineering experience
- Several years building LLM-based or agentic systems
- Demonstrable track record as a senior or lead engineer
Salary/Compensations
- £700–£900 per day
Benefits
- Competitive day rate, dependent on experience
- Genuine technical ownership and the scope to shape architecture
- Opportunity to work with a fast-growing, successful early-stage business
- Realistic prospect of extension or a longer-term arrangement
- Flexible and hybrid working pattern
About the Company
- Oxford Dynamics is a fast-growing UK frontier technology company developing digital and physical AI systems for mission-critical environments.
- Founded in 2019, the company focuses on AI for defence, national security, critical infrastructure, and commercial organisations making high-stakes decisions.
- Their core product is AVIS™ (A Very Intelligent System), an orchestration platform that fuses multi-modal data for operators.
- They partner internationally with defence, security, and private sector organisations.
Equal Opportunity
- Oxford Dynamics 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.