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Senior Software Engineer

Immersum

Remote

GBP 112,000 - 131,000

Full time

Yesterday
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Job summary

An innovative AI consultancy is seeking a Forward Deployed Engineer to work remotely in Newcastle upon Tyne. This role involves leading customer engagements, developing AI solutions, and mentoring engineers. The ideal candidate will have extensive experience in building scalable software systems and a passion for AI applications. You will directly influence client outcomes by implementing AI technologies and architectures, ensuring quality and innovation in delivery.

Qualifications

  • 5–8+ years building robust, scalable software systems.
  • Experience with AI tools like ChatGPT and GitHub Copilot.
  • Proven AI/ML expertise with production deployment experience.

Responsibilities

  • Lead discovery workshops with clients and stakeholders.
  • Build and iterate working AI prototypes quickly.
  • Guide engineers through technical delivery and code reviews.

Skills

Full-stack development capability
Client-facing experience
AI curiosity

Tools

Python
JavaScript
Azure
AWS
Job description

Title: Forward Deployed Engineer – AI & Customer-Facing Technical Leader

Location: Remote

Travel: Customer visits 4–5 days/month; occasional team gatherings

Salary:

Senior: €130–150k base + growth trajectory

Principal: €160–200k base + package discussion

Tech: Python, JavaScript, Azure, AWS, AI, LLM's, RAG

Industry: AI Consultancy

The Role

We’re looking for talented engineers to join our customer‑facing AI practice, from Senior Forward Deployed Engineers through to Principal-level AI technical leaders. You’ll work directly with clients to uncover problems, build prototypes, and guide full AI‑enabled solution lifecycles.

This is a role for engineers who:

  • Enjoy building real software that makes a difference
  • Are passionate about AI and its practical application
  • Thrive at the intersection of technical leadership and client engagement
What You’ll Do

Customer-Facing Leadership

  • Lead discovery workshops with technical and business stakeholders
  • Represent the organisation’s technical capabilities in high‑stakes client meetings
  • Build trust and long‑term relationships with engineering teams and decision‑makers

Solution Development & Architecture

  • Build and iterate working AI prototypes quickly
  • Architect scalable, maintainable systems from prototype to production
  • Make sophisticated technical decisions balancing AI innovation, quality, and deployment needs

Technical Mentorship & Team Growth

  • Guide engineers through technical delivery, code reviews, and architectural discussions
  • Elevate team capabilities through knowledge sharing, mentoring, and internal workshops
  • Contribute to best practices, reusable components, and solution standards

AI Mastery & Innovation

  • Implement AI solutions leveraging LLMs, foundation models, and retrieval‑augmented generation (RAG) systems
  • Design evaluation frameworks addressing bias, hallucination detection, and business impact
  • Explore novel AI applications while integrating traditional ML techniques where appropriate
Who We’re Looking For

For Senior Engineers:

  • 5–8+ years building robust, scalable software systems
  • Full‑stack development capability across modern technologies
  • Client‑facing experience or technical consulting skills
  • AI curiosity and hands‑on experimentation with tools like ChatGPT, Claude, GitHub Copilot

For Principal Engineers:

  • 8+ years delivering complex, enterprise‑grade software
  • Proven AI/ML expertise with production deployment experience
  • Advanced knowledge of transformer architectures, foundation models, and prompt engineering
  • Senior stakeholder engagement experience and ability to lead high‑level AI strategy
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