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Position

Title: Principal Software Engineer (AI Engineer with Customer-Facing)

Location: Remote

This is a senior-level, hands-on technical role for someone who can lead AI solution design, build advanced prototypes, and advise high-level customer stakeholders with credibility and confidence.

You’ll work directly with CTOs, chief architects, and engineering leaders to uncover real challenges, design smart solutions, and drive full-cycle AI delivery—from first sketch to deployed system.

You're not just a leader—you’re a builder. You love writing software, prototyping ideas, and using AI tools across every part of the development process.

Key Responsibilities

Strategic Technical Leadership

• Act as the go-to AI technical expert in customer environments.
• Drive discovery with senior technical stakeholders to identify high-impact AI opportunities.
• Architect full-stack AI systems using LLMs, RAG pipelines, and robust evaluation frameworks.
• Make informed decisions on model choice, fine-tuning, and deployment strategies.

AI System Development

• Build production-grade prototypes with deep awareness of AI system limitations.
• Apply deep knowledge of transformer architectures to real-world use cases.
• Implement thoughtful evaluation systems to measure performance, bias, and business value.
• Design with scalability and maintainability in mind from the very beginning.

Customer AI Enablement

• Facilitate workshops to align AI strategy and implementation plans.
• Lead assessments of AI readiness and architecture design.
• Handle complex objections with calm, confident technical insight.
• Build lasting partnerships that position the consultancy as the trusted AI integrator.

Internal Capability Building

• Mentor engineers and upskill teams across the organisation.
• Contribute to reusable components, design patterns, and shared best practices.
• Lead internal discussions on the latest GenAI tools and trends.
• Define quality benchmarks for how we design, implement, and evaluate AI systems.

What We’re Looking For

GenAI Mastery

• Deep experience with transformer-based models and GenAI pipelines.
• Strong understanding of prompt engineering, model finetuning, and toolchain integration.
• Hands-on experience with top GenAI tools (ChatGPT, Claude, Copilot, Cursor).
• Ability to build AI systems that are measurable, explainable, and responsibly deployed.
• Bonus: Comfort combining classical ML techniques (clustering, classification, embeddings) with GenAI.

Engineering Leadership

• 8+ years building scalable, maintainable, enterprise-grade software.
• Comfortable leading architecture decisions and full-stack implementation.
• Proven track record of delivering systems that make it to production—and work at scale.
• Ability to guide and mentor engineering teams in fast-moving environments.

Customer-Facing Expertise

• Experience working directly with senior stakeholders, including C-level decision-makers.
• Skilled at navigating complex client environments and building long-term technical trust.
• Comfortable leading workshops, aligning priorities, and facilitating technical strategy.
• Known for being calm, clear, and credible in challenging or high-pressure settings.

Seniority level

• Director

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Software Development and IT Services and IT Consulting

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