Agentic AI Engineer

Project overview

Agentic AI Engineer

Responsibilities

Design and develop agentic AI systems that operate autonomously across diverse data sources and workflows.

Implement scalable data processing pipelines using Apache Spark and Python.

Build, train, and fine-tune advanced AI/ML models for agent reasoning, planning, and execution.

Integrate solutions with MCP (Massively Concurrent Processing) servers or equivalent architectures.

Work closely with data engineers, researchers, and platform teams to ensure robust deployment.

Continuously research and integrate emerging techniques in agent-based AI, multi-agent systems, and reinforcement learning.

Required Skills & Experience:

4+ years of experience in AI/ML engineering or data-intensive systems.

Strong proficiency in Python for AI, ML, and data engineering tasks.

Deep experience with Apache Spark (PySpark or Scala-based implementations).

Solid understanding and hands-on experience with modelling intelligent agents, including symbolic, neural, or hybrid approaches.

Experience deploying to and managing workloads on MCP or distributed processing environments.

Familiarity with libraries such as TensorFlow, PyTorch, LangChain, or Ray is a plus.

Ability to write clean, efficient, and well-documented code in a collaborative environment.

Desirable:

Experience with multi-agent coordination or LLM-based autonomous agents.

Background in distributed systems, knowledge graphs, or real-time data processing.

Contributions to open-source AI projects or relevant research publications.

Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

Project details

Edinburgh or London

Type: 6-month initial contract

Salary: Competitive Daily rate via Umbrella

• Start: flexible
• Location: London, GB