Agentic AI Developer - Senior Consultant

We are seeking a passionate and technically strong Agentic AI Engineer to join our Regulatory Technology & Data (RTD) offering.

This role focuses on designing, building, and operationalising agent-based AI systems that support regulatory, risk, and data-intensive use cases - augmenting human decision-making while meeting enterprise-grade standards for safety, governance, and reliability.

You will work at the intersection of Generative AI, autonomous agents, cloud platforms, and regulated environments, contributing to production-grade systems rather than research prototypes.

Key Responsibilities

Agentic System Design & Engineering:

• Design and implement agent-based architectures, defining how agents:
  • Gather and reason over context
  • Plan and make decisions
  • Coordinate with other agents
  • Interact safely with tools, APIs, and enterprise systems
• Build and maintain robust agent runtime environments that support cognition, orchestration, and execution at scale.
• Implement reasoning and control frameworks (e.g. planning, reflection loops, evaluation pipelines) to enable safe, traceable, and reliable agent behaviour.

Platforms, Frameworks & Protocols

• Develop using modern Agentic AI frameworks and orchestration tools, such as:
  • LangGraph
  • Langflow
  • N8N
  • LangChain
• Apply knowledge of agent communication and orchestration protocols (e.g. MCP, ACP, A2A, ANP) where appropriate.

Security, Governance & Observability

• Design and implement security, observability, and governance controls aligned to regulated or high‑risk environments.
• Establish guardrails to ensure alignment, safety, and reliability for semi‑autonomous or autonomous operations.
• Monitor, evaluate, debug, and continuously improve agent performance using telemetry, evaluation signals, and feedback loops.

Human-AI Collaboration

• Design human‑in‑the‑loop and human‑on‑the‑loop workflows that ensure AI augments business capability, whilst minimising operational or regulatory risk.
• Optimise user interactions and hand‑offs between operational teams and agentic systems.

Technical Requirements

Core Skills:

• Strong programming capability with Python (required).
• Experience building, testing, and deploying LLM‑based or agentic systems in real-world environments.
• Solid understanding of software architecture, APIs, and distributed systems.

Platforms & Engineering Stack (Strongly Preferred):

• Experience with some or all of the following:
  • Python, ASP.NET Core, Entity Framework
  • Angular or React
  • PostgreSQL or similar relational databases
  • MongoDB or similar document databases
  • Git
• Experience with virtualisation and containerisation platforms, e.g Docker, Kubernetes.

Cloud & AI (Advantageous):

• Azure AI Foundry / Amazon Bedrock Experience
• General cloud experience with AWS, Azure and/or GCP.
• Cloud architecture and/or AI-related certifications are advantageous.