Lead Engineer - Full Stack

Sahaj Software
London
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Engineer, MLOps (London)

Lead DataOps Engineer - Big Data

Lead Software Engineer - MLOps

Lead Software Engineer - Agentic AI/Machine Learning

AI Lead, AI Engineer Lead, Generative AI Engineer, Machine Learning Engineer, AI Platform Engineer, NLP Engineer, Applied AI Engineer, AI Integration Specialist, AI Software Engineer, AI Systems Architect, AI Engineer, AI Development Lead,

Artificial Intelligence Engineer

As a Lead Full-Stack Engineer, you'll thrive if you're hands-on, grounded, and passionate about building with technology. Our clients diverse tech stack includes TypeScript, Java, .Net, Scala, Kotlin, Golang, Elixir, Python, .Net, Node.js, and Rust. Experience with one, or more than one of those languages would be preferred.


This role offers significant impact and growth opportunities while staying hands-on. We focus on lean teams without traditional management layers, working in small, collaborative teams (2-5 people) where a well-founded argument holds more weight than the years of experience. You'll develop tailored software solutions to meet clients' unique needs across multiple domains.


Responsibilities:


  • Remain fully hands-on and write high-quality, production-ready code that enables smooth deployment of solutions.
  • Lead architecture and design decisions, ensuring adherence to best practices in technology choices and system design.
  • Utilize DevOps tools and practices to automate and streamline the build and deployment processes.
  • Work closely with Data Scientists and Engineers to deliver robust, production-level AI and Machine Learning systems.
  • Develop frameworks and tools for efficient data ingestion from diverse and complex sources.
  • Operate in short, iterative sprints, delivering working software aligned with clear deliverables and client-defined deadlines.
  • Demonstrate flexibility by learning and working across multiple programming languages and technologies as required.


Additional Responsibilities:


  • Actively contribute to a high-performing engineering culture by working from ours or client offices regularly to collaborate closely with fellow senior techies, fostering strong technical discussions and decision-making.
  • Provide hands-on mentorship and technical guidance that encourages knowledge sharing, continuous improvement, and innovation within your team.


Skills you’ll need:


  • Experience as a Software Engineer
  • Experience of leading on architecture and design decisions, ensuring adherence to best practices in technology choices and system design
  • Deep understanding of programming fundamentals and expertise with at least one programming language (functional or object-oriented).
  • A nuanced and rich understanding of code quality, maintainability and practices like Test Driven Development.
  • Experience with one or more source control and build toolchains.
  • Working knowledge of CI/CD will be an added advantage.
  • Understanding of web APIs, contracts and communication protocols.
  • Understanding of Cloud platforms, infra-automation/DevOps, IaC/GitOps/Containers, design and development of large data platforms.
  • A maker’s mindset - To be resourceful and have the ability to do things that have no instructions.


What will you experience in terms of culture at Sahaj?


  • A culture of trust, respect and transparency
  • Opportunity to collaborate with some of the finest minds in the industry
  • Work across multiple domains


What are the benefits of being at Sahaj?


  • Unlimited leaves
  • Life Insurance & Private Health insurance paid by Sahaj
  • Stock options
  • No hierarchy
  • Open Salaries

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.