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Open nowPosted 12 days ago

Lead Software Engineer

Workable (global search)108,016 open roles

Where
London, England, United Kingdom
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Your applicationOpen nowLead Software EngineerWorkable (global search) · London, England, United Kingdom

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Workable (global search)'s own form.

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 12 days ago

Workable (global search) median: 7 days open

The posting

About WeBuild-AI:

WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad, industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses. We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed.

Our Purpose:

We're on a mission to reinvent what's possible with AI in enterprise environments. Our Software Engineers don't just implement solutions—they discover new patterns of working with AI that revolutionise entire business processes. We believe AI will fundamentally transform how organisations operate, and we're looking for pioneers who want to lead this transformation, working at the absolute cutting edge of what's possible with today's most advanced AI technologies.

Key Responsibilities

  • Lead the design, development, and delivery of complex software systems and AI-powered applications.
  • Work across the full stack — frontend (React, TypeScript) and backend (Python, Java) — to build performant, maintainable solutions.
  • Mentor and support a small team of engineers, conducting code reviews and fostering best practices.
  • Collaborate closely with Data Engineers, AI Engineers, and Product Managers to turn ideas into production-ready software.
  • Drive technical decisions around architecture, performance, and scalability.
  • Ensure high-quality coding standards and strong testing/CI practices are consistently applied.
  • Guide deployment and operations in AWS and other cloud environments, leveraging Docker/Kubernetes.
  • Contribute to hiring, onboarding, and developing new team members.
  • Stay current with emerging frameworks, tools, and patterns — helping the team evolve with industry trends.

Requirements

Required Skills & Experience

  • Extensive experience building and deploying production-grade web and software applications.
  • Strong experience in React, TypeScript, and Python (Java optional).
  • Hands-on experience with cloud-native development (AWS, GCP, or Azure).
  • Understanding of CI/CD, infrastructure as code, and container orchestration.
  • Experience mentoring other engineers and leading by example.
  • Strong understanding of software architecture principles and system design.
  • Familiarity with integrating AI/ML APIs or frameworks (e.g., TensorFlow, PyTorch) is a plus.
  • Excellent communication skills and a collaborative approach to problem solving.

The Mindset We Value:

Relentless Innovation: We're looking for individuals who are constantly exploring the edges of what's possible with AI. You should be the type who stays up late testing new approaches just to see what might work.

Flexible Methodology: Traditional development approaches don't always apply to AI. We need people who can adapt their working methods to the unique characteristics of AI systems, embracing experimental approaches when appropriate.

"Can Do" Attitude: When faced with a seemingly impossible challenge, your response should be "let's figure out how" rather than "it can't be done." We value determined problem-solvers who find a way forward.

Balanced Perspective: While pushing boundaries, you must maintain a grounded understanding of enterprise realities, balancing innovation with practical implementation.

Growth Opportunities:

  • Develop expertise with emerging AI models and capabilities before they reach mainstream adoption.
  • Create intellectual property and novel implementation approaches.
  • Work across multiple industries to develop deep domain expertise.
  • Contribute to the evolution of our proprietary AI methodology.
  • Participate in the AI research community and establish thought leadership.
  • Shape new AI services and capabilities within our Pathway platform.

This role is hybrid and we come into our London based office 3 days a week.

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