GenAI & Agentic AI Lead Engineer (Python)

Next Frontier Capital; Glasgow; On-site; GBP 120,000 - 180,000; Full time

Job summary

J.P. Morgan is hiring an Applied AI/ML Lead Engineer to design, build, and productionize Generative AI and Agentic AI solutions in a Python & Agentic AI team. You will develop GenAI/Agentic AI applications, integrate with tools and data, and ensure secure, reliable production services.

The role emphasizes modern AI engineering workflows, MLOps, and scalable cloud deployments on AWS, using Java and/or Python, APIs, and CI/CD. Strong collaboration across stakeholders is essential.

Qualifications

• Undergrad or Master’s degree (or equivalent practical experience) in Computer Science, Data Science, Machine Learning, or related field.
• Hands-on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots).
• Familiarity with MCP (Model Context Protocol), Agent Skills, and architectures that connect models to tools/data through standardized interfaces.
• Familiarity with LLM application patterns: embeddings/vector search, prompt orchestration, tool calling/function calling, safety/guardrails, evaluation.
• Strong software engineering experience delivering production systems; ability to design maintainable architectures and write clean, testable code.
• Proficiency in Java and/or Python and experience building APIs/services and integrating with data sources and downstream systems.
• Experience deploying solutions on AWS and cloud-native environments; understanding of security fundamentals and operational excellence.
• Experience with CI/CD, code reviews, unit testing, and deployment automation.
• Experience with containers and orchestration (Docker, Kubernetes/EKS) and production monitoring practices.

Responsibilities

• Design, develop, and deploy GenAI and Agentic AI solutions across business workflows.
• Build LLM/SLM-powered applications including RAG-based systems and tool-using agents.
• Engineer production-grade services using Java and/or Python (REST/gRPC, microservices).
• Develop prompt strategies and automated evaluation to improve quality over time.
• Build and maintain data pipelines and processing workflows on cloud platforms.
• Apply MLOps across lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, maintenance.
• Implement robust testing and observability for AI services.
• Collaborate with stakeholders to define requirements and success metrics.

Skills

GenAI

Agentic AI

Java

Python

LLMs/SLMs

RAG

MLOps

AWS

Kubernetes

CI/CD

APIs/microservices

Testing

Observability

Education

Bachelor’s or Master’s in CS/DS/ML

Tools

GitHub Copilot

Claude Code

Docker

Kubernetes/EKS

Job description

J.P. Morgan is hiring an Applied AI/ML Lead Engineer to design, build, and productionize Generative AI and Agentic AI solutions in a Python & Agentic AI team. You will develop GenAI/Agentic AI applications, integrate with tools and data, and ensure secure, reliable production services.

The role emphasizes modern AI engineering workflows, MLOps, and scalable cloud deployments on AWS, using Java and/or Python, APIs, and CI/CD. Strong collaboration across stakeholders is essential.