Senior AI Agents Engineer — Production Go Backend

IFS; Staines-upon-Thames; Hybrid; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Hybrid work opportunities

Inclusive workplace experiences

Job summary

IFS is hiring for a hands-on production role focused on building the intelligence behind the AI-enabled experience. You will craft the session/memory model, retrieval, and agentic flows across a multi-tenant estate and support integration with service-to-service tools.

You will ship production-grade Go and Python backends, run GenAI pipelines with RAG, teach grounding against structured data, and implement secure, scalable architectures with API gateways and cloud-native tooling.

Qualifications

• Experience with S2S integration, preferably using technologies such as n8n or Temporal, or alternatively MuleSoft, Apache Camel, or Boomi.
• Experience with Go and Python.
• Experience building multi-tenant SaaS solutions.
• Experience building and scaling AI-native products and applications.
• Experience with production-grade GenAI solutions, including RAG pipelines and agentic systems.
• Experience with AI frameworks and tooling such as Pydantic AI, LangChain, and MCP.
• Experience with MCP development and plan-based agentic software development.
• Experience with DevOps and cloud-native infrastructure, including Docker, Kubernetes, CNCF technologies, and CI/CD pipelines.
• Experience with API gateways and API products, preferably with platforms such as Kong or Tyk.
• Preferably experience optimizing AI services for latency and cost.
• Preferably experience with specification-driven development.
• Passionate about and eager to adopt new technologies.
• Up to date with the latest developments in GenAI and AI-based software development.

Responsibilities

• Build the intelligence behind the user experience: session, memory model, and retrieval across our estate.
• Develop agentic flows for multi-step work and tool usage with human handoff rules.
• Implement multi-tenant, scalable SaaS architecture on shared infrastructure.
• Create evaluation harnesses to validate AI output before shipping.
• Develop language interfaces over scheduling and optimization engines for customer terms.
• Incorporate security, data residency, and prompt-injection guardrails with the security team.
• Support speech and image inputs alongside text for plant-room and asset photo contexts.

Skills

Go

Python

multi-tenant SaaS

GenAI

RAG pipelines

LangChain

MCP

DevOps

Docker

Kubernetes

CI/CD

Kong

Tyk

n8n

Temporal

MuleSoft

Apache Camel

Boomi

Tools

Docker

Kubernetes

Kong

Tyk

n8n

Temporal

MuleSoft

Apache Camel

Boomi

Job description

IFS is hiring for a hands-on production role focused on building the intelligence behind the AI-enabled experience. You will craft the session/memory model, retrieval, and agentic flows across a multi-tenant estate and support integration with service-to-service tools.

You will ship production-grade Go and Python backends, run GenAI pipelines with RAG, teach grounding against structured data, and implement secure, scalable architectures with API gateways and cloud-native tooling.