Senior AI Platform Engineer: Production ML & RAG

Lumora Solutions

United Kingdom

On-site

GBP 90,000 - 150,000

Full time

3 days ago
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Job summary

Lumora Solutions is seeking a Senior Applied AI Engineer to join its AI Platform Engineering Team in the United Kingdom. You will help build the AI runtime, retrieval, guardrails, and evaluation that underpin production-grade AI features.

You will ship production AI agents, optimize for latency and cost, and work with customers to validate outcomes and scale successful solutions. This role offers opportunities to lead, mentor and drive engineering excellence within a fast-growing software

Qualifications

  • Experience shipping LLM/ML-backed software into production, including agentic and RAG systems.
  • Strong programming skills in Python or C#/.NET with understanding of orchestration and production failure modes.
  • Experience building evaluation frameworks and quality controls to measure model and agent performance.
  • A cost- and latency-conscious mindset balancing technical quality with reliability and business value.

Responsibilities

  • Build and optimise production AI agents, including orchestration, tool calling, model selection and RAG.
  • Develop evaluation frameworks, safety guardrails and automated QA for reliable AI systems.
  • Own production performance, balancing latency, cost, reliability and measurable business impact.
  • Collaborate with product teams and customers to validate outcomes and scale solutions.
  • Shape engineering practices, mentor others and foster technical excellence.

Skills

LLM/ML production
Python/.NET (C#)
Agent orchestration
RAG systems
Evaluation frameworks
Quality controls
Latency & cost awareness

Tools

Python
C#/.NET

Job description

Lumora Solutions is seeking a Senior Applied AI Engineer to join its AI Platform Engineering Team in the United Kingdom. You will help build the AI runtime, retrieval, guardrails, and evaluation that underpin production-grade AI features.

You will ship production AI agents, optimize for latency and cost, and work with customers to validate outcomes and scale successful solutions. This role offers opportunities to lead, mentor and drive engineering excellence within a fast-growing software

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