AI Engineer – £600 per day, inside IR35, 2‑3 days on site in London on an initial 6‑month engagement.
emagine is a consulting and solutions firm specialising in the financial services sector. We are committed to open, integrity‑driven relationships with our clients and to fostering a positive, equitable workplace for our consultants and colleagues.
Key Responsibilities
- Design, develop, and deploy scalable agentic AI solutions using Python, LangGraph, and LangChain.
- Build and manage multi‑agent architectures, including orchestration, coordination, and workflow management.
- Implement advanced AI capabilities such as Retrieval‑Augmented Generation (RAG), memory management, planning and reasoning frameworks, human‑in‑the‑loop workflows, and tool/MCP integration.
- Develop and optimise prompts and agent behaviours through effective prompt engineering and evaluation.
- Establish guardrails, governance frameworks, and responsible AI practices.
- Implement observability, monitoring, testing, and performance evaluation for AI systems.
- Build and maintain CI/CD pipelines for AI application deployment and lifecycle management.
- Ensure security, scalability, and reliability of AI solutions in enterprise environments.
- Integrate AI agents with enterprise APIs, data platforms, business applications, and cloud services across Azure and AWS.
- Collaborate with architects, engineers, product teams, and stakeholders to deliver innovative AI‑driven solutions.
Required Skills & Experience
- Minimum 8 years of hands‑on experience building AI solutions, with significant experience in agentic AI development.
- Strong proficiency in Python and extensive experience with LangGraph and LangChain.
- Proven expertise in agent orchestration, multi‑agent systems, workflows, tool and MCP integration, Retrieval‑Augmented Generation, AI memory architectures, planning and reasoning frameworks, and human‑in‑the‑loop systems.
- Deep understanding of multi‑cloud environments, especially Microsoft Azure and Amazon Web Services (AWS).
- Experience implementing prompt engineering, evaluation frameworks, guardrails, and AI governance.
- Strong knowledge of observability, monitoring, testing, and quality assurance for AI systems.
- Experience with CI/CD, DevOps practices, and secure software deployment.
- Demonstrated ability to integrate AI solutions with enterprise platforms, APIs, and data ecosystems.
- Excellent communication and stakeholder management skills.
Desirable Experience
- Enterprise‑scale AI deployments and production‑grade agent frameworks.
- Knowledge of vector databases, knowledge graphs, and advanced retrieval techniques.
- Familiarity with MLOps and AI governance best practices.
- Experience working within highly regulated environments.
We are committed to building an international and diverse team. If you are up for the challenge, please contact our internal recruitment team.
Equal Opportunity Statementemagine is an equal opportunity employer, and employment practices are based strictly on merit. The Company provides equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion, or ethnic origin.
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