Hybrid AI Solutions Engineer - Build Live Workflows

Trust In SODA; Greater London; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

Trust In SODA in the United Kingdom is hiring its first AI Solutions Engineer to lead the deployment of AI agents that automate multi-step business workflows. The role is hybrid, based in London or Bristol, and embeds you directly in business functions.

You will design and deploy AI/LLM-powered agents, integrate with PMS, CRM, and other systems, and work with product, engineering, and AI teams to drive measurable time savings and throughput improvements.

Qualifications

• Strong software engineering background with APIs, integrations and distributed systems.
• Experience designing, building and deploying AI/LLM-powered agents and workflows.
• Familiar with AI architectures such as RAG, tool calling and multi-agent orchestration.
• Comfortable working directly with business users in live environments.

Responsibilities

• Design, build, and deploy AI agents that automate multi-step workflows and integrate with PMS, CRM and telephony.
• Embed with business functions as a forward-deployed engineer.
• Identify automation opportunities and deliver measurable outcomes (time saved, throughput, error reduction).
• Translate requirements into technical architectures and feed learnings back to the agent platform.
• Collaborate with Product, Engineering and AI teams and evangelize AI value across the business.

Skills

APIs

Integrations

Distributed systems

Python

AI Agents

AI architecture

RAG

Tool calling

Multi-agent orchestration

End-to-end ownership

Communication

Tools

Chroma

Braintrust

Azure Foundry

AWS Bedrock

Job description

Trust In SODA in the United Kingdom is hiring its first AI Solutions Engineer to lead the deployment of AI agents that automate multi-step business workflows. The role is hybrid, based in London or Bristol, and embeds you directly in business functions.

You will design and deploy AI/LLM-powered agents, integrate with PMS, CRM, and other systems, and work with product, engineering, and AI teams to drive measurable time savings and throughput improvements.