Neulinx
Artificial Intelligence Engineer
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Lead AI Engineer
Remote UK
£100,000–£120,000 + Equity
Neulinx is working with a well-established SaaS company entering a major AI transformation phase.
The platform is already used by large enterprise customers globally and is now evolving from traditional analytics into AI-driven products, including real-time insights, recommendation systems and agent-based automation over live business data.
They are hiring a Lead AI Engineer to own the core data and AI infrastructure enabling this shift.
This is not an LLM integration or prompt engineering role. You’ll focus on the underlying platform: how data is structured, governed and exposed safely and reliably to AI systems and agents.
What you’ll do
- Own the architecture for data and AI systems across the platform
- Build batch and streaming pipelines for real-time use cases
- Design data layers for agents, search and retrieval systems, including MCP-style tooling
- Define schemas, contracts and data governance standards
- Lead decisions across storage, search and data infrastructure
- Implement observability, lineage and data quality controls
- Ensure secure, privacy-aware AI system design, including guardrails and prompt injection protection
- Work cross-functionally and influence architecture without formal authority
- Stay hands-on while shaping the long-term technical direction
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What they’re looking for
Strong experience owning data or AI platforms within production SaaS environments, with exposure to several of the following:
- LLM applications, AI agents or orchestration frameworks
- MCP or similar tool and agent architectures
- Distributed systems and large-scale data pipelines
- PostgreSQL, MongoDB or DocumentDB, MySQL and Redshift
- Elasticsearch or search and retrieval systems
- AWS, including Kinesis, Lambda, SQS and SNS
- Kubernetes or EKS, Terraform and CI/CD
- Redis or ElastiCache
- TypeScript and Node.js
- Observability tools, including Datadog, Sentry, logging, tracing and SLOs
- AI safety, governance, GDPR and secure data handling
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You don’t need experience with everything listed, but you should have a track record of turning complex and ambiguous requirements into scalable platform architecture.
Why this role?
You’ll be shaping the AI foundations of a proven, revenue-generating SaaS platform rather than working on early-stage experimentation.
There is real ownership, strong engineering autonomy and direct influence over how AI is embedded across a product used at global scale.
Of interest? Apply and upload your CV, or reach out to Gareth at Neulinx directly for a confidential conversation.
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