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Lead Software Engineer

G LNK

London

On-site

GBP 40,000 - 80,000

Full time

7 days ago
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Job summary

Join a dynamic early-stage startup as a Full Stack Software Engineer, where you'll be instrumental in shaping AI-driven solutions. This role offers the chance to work on diverse projects, from backend systems to full-stack applications and ML models. You will collaborate with a passionate team to develop innovative AI solutions, manage databases, and implement best practices in DevOps. If you thrive in a fast-paced environment and are eager to tackle real customer challenges, this opportunity promises to be both rewarding and impactful.

Qualifications

  • 1-2+ years of software engineering experience in backend, DevOps, or full stack.
  • Proficiency in Python and building ML-oriented solutions.

Responsibilities

  • Develop AI solutions and enhance product features.
  • Design scalable systems and manage databases effectively.

Skills

Python
Problem-Solving
Communication Skills
DevOps
ML-oriented Solutions

Tools

CI/CD Pipelines
Azure
SQL
NoSQL (Elasticsearch, MongoDB)

Job description

We’re looking for a Full Stack Software Engineer to join our early-stage team. You’ll help shape the architecture and future of our AI-driven platform, working across backend systems, DevOps pipelines, and data engineering, and AI engineering projects. As an integral team member, you’ll have the opportunity to touch multiple products—from backend services to full-stack applications and ML models—and directly influence how we deliver value to our customers.

What You’ll Do:

  • Own Product-Facing AI Solutions: Develop AI solutions to build and enhance product-facing features.
  • Develop ML Models: Collaborate on research, model proposal, training, optimization, and deployment across our platform.
  • Design & Develop Scalable Systems: Contribute to both backend and full-stack development, focusing on building robust APIs and efficient data flows.
  • Manage Databases: Work with both SQL and NoSQL (Postgres, Elasticsearch, MongoDB) to design, optimize, and maintain data storage.
  • Implement DevOps Best Practices: Build and maintain CI/CD pipelines, streamline deployments, and ensure reliable and scalable infrastructure.
  • Lead Data Engineering Efforts: Design and execute data pipelines to support analytics and product enhancements.

What We’re Looking For:

  • Product mindset – We value engineers who focus on building solutions that genuinely improve user experiences. You should be excited about tackling real customer needs
  • Ownership – As one of our early engineering hires, you’ll have the autonomy to shape entire product features. We look for people who can navigate ambiguous challenges, propose creative solutions, and take projects from ideation to launch.
  • Extremely Curious — We think curious people run the world. We love those who have an insatiable hunger for more knowledge… about customer problems, domain knowledge, technical innovations or new ways to approach challenges.
  • Hungry and driven — We’re an early-stage startup tackling challenging, unsolved problems at a rapid pace. This work demands agility, bold decision-making, and creative solutions. It won’t always be easy, but it promises to be incredibly rewarding. You’re someone who thrives on speed and iteration, yet knows how to preserve quality by balancing rapid delivery with solid architectural practices. We believe in shipping early and refining often.

Must-Haves:

  • 1-2+ years of professional software engineering experience (backend, DevOps, or full stack).
  • Proficiency in Python, and experience in building ML-oriented solutions
  • Strong Problem-Solving & Communication Skills: Proactive, solution-oriented, and an excellent team player.
  • Hands-On DevOps Experience: Familiarity with CI/CD pipelines and version control.
  • Familiarity with Cloud Infrastructure platforms, preferably Azure
  • SQL & NoSQL Expertise: Comfortable with databases like Elasticsearch, MongoDB, and relational systems.
  • Right to Work in the UK: Must be based in the UK with valid work authorization.
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