AI Engineer – Agentic AI

AI Engineer– Agentic AI

Location:
Burgess Hill, UK

Employment Type: Full-time

As an AI Engineer– Agentic AI, you will be a hands-on builder contributing to the development of production agentic AI systems that operate on real financial data and serve real customers.
You will work alongside experienced engineers, product managers, and designers to design, build, and ship AI-powered features, while learning how to operate within a regulated, customer-facing environment. This role offers strong mentorship and opportunities to grow your technical depth in LLMs, agentic systems, and production AI engineering.

• Languages:
  
  Python, Go, Type Script
• Cloud and infrastructure: AWS and/or GCP, Kubernetes
• APIs and services: REST, gRPC
• Distributed systems: event-driven architectures, including Kafka
• Orchestration Frameworks:
  Lang Graph, Lang Chain, Air Flow, etc

• Integration of commercial and open-source LLMs into agentic workflows
• Agent and orchestration frameworks such as Lang Chain, Llama Index, Semantic Kernel, or CrewAI, with strong judgment about when to use frameworks versus building lighter-weight primitives
• Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to Tensor Flow
• Strong schema, validation, and state management practices using tools such as Pydantic (Python) and Zod (Type Script)

• Use of AI-assisted and agentic development tools for design, implementation, testing, debugging, and refactoring
• Learning how to apply these tools responsibly while maintaining production-quality standards
• All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment.

• Strong software engineering experience with Python (preferred) or Java
  .
• Hands‑on experience with Large Language Models (LLMs), including:
  • ChatGPT/OpenAI
  • Google Gemini
  • Anthropic Claude
• Experience building and integrating AI Agents and business workflow automation solutions.
• Development and integration of microservices‑based architectures
  .
• Strong understanding of event‑driven programming and distributed systems.
• Hands‑on experience with Apache Kafka and messaging platforms.
• Experience working with Enterprise Data Hubs and data integration platforms.
• Strong PostgreSQL database design and development skills.
• Experience with AWS and/or GCP cloud platforms.
• Hands‑on expertise in:
  • Kubernetes
  • Docker/Containers
  • CI/CD pipelines
• Knowledge of:
  • Dev Ops
  • Dev Sec Ops
  • MLOps
  • LLMOps
• Experience with Agentic AI frameworks and the Agentic Development Lifecycle (ADLC).

• Candidates must currently reside in the United Kingdom.
• Candidates must be available to start within four weeks of receiving an offer.
• Ability to work onsite in Burgess Hill, UK, three days per week
  .

Financial Services, Banking, Wealth Management, Fin Tech, Insurance, or other highly regulated industries.