Senior Software Engineer

Apache Associates are working with an ambitious SaaS organisation that is investing heavily in AI across its products and engineering function. We’re looking for a Senior Software Engineer to take a leading role in turning AI capabilities into genuinely useful, production-ready solutions.

This is a senior, hands‑on position for someone who is as passionate about building with AI as they are about helping other engineers get better at it
.

You’ll be responsible for designing and refining prompts, context strategies and agentic workflows, while also establishing best practice around evaluation and AI-assisted development across a large engineering organisation.

This isn't simply an AI engineering role focused on building individual features. You'll become a key technical voice for how AI is used across the wider R&D organisation.

You'll work closely with engineers, architects, product teams and subject matter experts, helping teams understand where AI can genuinely add value and, equally importantly, where it shouldn't be used.

A major part of the role will be raising the capability of other engineers through coaching, pairing, workshops, knowledge-sharing and reusable tools and resources.

You'll also establish standards around prompt engineering, context engineering and evaluation, ensuring the organisation remains rigorous as models, tools and techniques evolve.

• Design, build and refine prompts, context strategies and agentic workflows for real-world AI product features.
• Develop robust approaches to evaluating LLM outputs
  , using real business cases and measurable quality standards.
• Work across multiple LLM providers and models, making pragmatic decisions around quality, cost and latency
  .
• Work closely with Product Managers, Product Owners and subject matter experts to understand the underlying business problem before designing the AI solution.
• Coach and mentor engineers across multiple teams, helping them get significantly more value from LLMs and AI coding tools
  .
• Run pairing sessions, technical reviews, workshops and one-to‑one coaching.
• Build and maintain reusable prompt patterns, templates, evaluation harnesses and internal guidance
  .
• Establish and lead an internal AI community of practice where engineers can share successes, failures and lessons learned.
• Define what "good" looks like for prompting, context engineering and evaluation across R&D.
• Keep those standards current as models, providers and AI tooling evolve.
• Provide engineering leadership with measurable evidence of where AI is delivering genuine value.
• Act as a constructive challenger when an AI solution looks impressive in a demo but isn't robust enough for production.
• Promote high standards around accuracy, safety and data handling
  .
• Help engineers working within established and legacy codebases adopt AI tooling effectively, rather than focusing solely on greenfield development.
• Potentially represent the organisation externally through talks, articles or open‑source contributions.

This role requires someone who is an engineer first
, with substantial practical experience applying AI in real‑world software environments.

We're particularly interested in people who can demonstrate:

• Several years of experience building and shipping production software in C#.Net and react Front‑end technologies.
• Significant hands‑on experience working with Large Language Models in commercial environments.
• Strong experience with prompt engineering, context engineering and structured outputs
  .
• Experience building evaluation frameworks, test harnesses or datasets for LLM outputs.
• Evidence of using evaluation and data to measurably improve AI quality
  .
• A proven ability to mentor, coach and develop other engineers.
• Experience…