AI Engineer
🔒 Confidential Employer
Posted 3 May 2026
LOCATION
Remote
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion
SKILLS
Python
LangChain
LangGraph
API Integration
Agent-based Systems
Model Context Protocol (MCP)
Semantic Layers
Knowledge Representation
FULL DESCRIPTION
AI Engineer
[Employer hidden — view at passion-project.co.uk] is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies. We are looking for an AI Engineer, working for a major beverage industry client, to design, build, and scale agent-based AI systems across the organization. This is a remote full-time position.
Responsibilities
- Design and implement AI agents and multi-agent systems for real-world business use cases.
- Build and maintain agentic workflows, including orchestration, tool usage, and inter-agent communication.
- Develop integrations between agents and enterprise systems (APIs, databases, SaaS platforms).
- Work with semantic layers and contextual data models to improve agent reasoning and performance.
- Implement and manage MCP-like architectures, ensuring proper context sharing and tool connectivity.
- Collaborate with data and platform teams to leverage Databricks and modern data stacks.
- Ensure solutions are production-ready, scalable, and aligned with governance and security requirements.
- Translate business problems into agent-based AI solutions with clear technical execution paths.
- Stay up to date with the latest advancements in agentic AI frameworks and LLM ecosystems.
Required Skills
- Proven experience building AI agents or agent-based systems.
- Solid understanding of multi-agent architectures, tool usage / “skills” in agents, agent orchestration patterns.
- Experience with Model Context Protocol (MCP) or similar approaches to context/tool integration.
- Hands-on experience coding agent solutions (not only using no-code tools).
- Strong programming skills in Python.
- Solid understanding of APIs and integrations, authentication flows, distributed systems.
- Familiarity with LLM frameworks (LangChain, LangGraph, or similar).
- Experience working with semantic layers / knowledge representation is a strong plus.
Nice to Have Skills
- Experience with Databricks and modern data platforms.
Perks
- Remote-first culture – work from anywhere!
- In-Company English Lessons.
- Wellhub or sports club stipend to stay active.
- AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered.
- Food credits via Pedidos Ya.
- Birthday off + an extra vacation week (Mutt Week!).
- Referral bonuses.
- Annual Mutters' Trip.
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