Lead Software Engineer

Reposted 11 Days Ago
Be an Early Applicant
London, Greater London, England, GBR
In-Office
Senior level
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software
The Role
Lead the design and development of AI-powered applications, mentor engineers, and collaborate across teams while ensuring high coding standards and deployment in cloud environments.
Summary Generated by Built In
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.

RequirementsRequired 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.

Top Skills

AWS
Azure
Ci/Cd
Docker
GCP
Java
Kubernetes
Python
React
Typescript
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: London
22 Employees
Year Founded: 2024

What We Do

We are AI native solution builders. We combine highly skilled experts, with our AI & data launchpad, industry aligned language models and agents to transform our customers into AI powered and data driven businesses. We deliver 10x value creation to enterprise organisations.

Similar Jobs

Experian Logo Experian

Lead Software Engineer

Big Data • Marketing Tech • Analytics
Hybrid
Nottingham, Nottinghamshire, England, GBR
16292 Employees

Lloyds Banking Group Logo Lloyds Banking Group

Lead Software Engineer

Fintech • Software • Financial Services
In-Office
London, Greater London, England, GBR
60287 Employees
84K-126K Annually

CreateFuture Logo CreateFuture

Lead Software Engineer

Information Technology • Software
Easy Apply
In-Office
2 Locations
342 Employees

Faculty (faculty.ai) Logo Faculty (faculty.ai)

Lead Software Engineer

Artificial Intelligence • Machine Learning • Big Data Analytics
In-Office
London, Greater London, England, GBR
663 Employees

Similar Companies Hiring

Fairly Even Thumbnail
Software • Sales • Robotics • Other • Hospitality • Hardware
New York, NY
Bellagent Thumbnail
Artificial Intelligence • Machine Learning • Business Intelligence • Generative AI
Chicago, IL
20 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account