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- Tasks: Build core product features and systems using cutting-edge generative AI technology.
- Company: Join a fast-paced startup focused on innovation and impact.
- Benefits: Competitive salary, equity package, and remote work flexibility.
- Why this job: Make a real difference by transforming AI capabilities into user-friendly platforms.
- Qualifications: 2+ years in full-stack engineering with strong frontend and backend skills.
- Other info: Dynamic environment with opportunities for rapid career growth.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Full Stack Engineer role at CONVERGENT. This is a high-impact, foundational role in a fast-paced, high-stakes environment. As one of our first engineers, you’re not just building features—you’re building core parts of the product and the systems behind them. Your mission is to transform powerful generative AI capabilities into an intuitive, real-time platform, while also ensuring the backend is reliable, scalable, and secure.
You Will:
- Work closely with AI, product, and design to architect and build features end-to-end (frontend + backend).
- Design and build core application systems: AI agent experiences, data visualization, and a real-time simulation interface for video, audio, chat, and beyond.
- Build and maintain backend services and APIs that power simulations, including auth, session management, billing hooks, permissions, and orchestration of AI workflows.
- Integrate LLM pipelines and agentic systems into production via robust backend patterns: queues/jobs, rate limiting, retries, caching, and observability.
- Own data flows across the stack: schema design, database performance, event tracking, and analytics pipelines that inform product iteration.
- Rapidly prototype new AI-driven features—from initial prompt/design to full-stack implementation and ship in tight loops.
- Improve performance and reliability: optimize latency for real-time experiences, harden APIs, and contribute to deployment/infra practices as we scale.
Requirements:
- 2+ years of experience as a full-stack engineer, ideally in a startup or similarly fast-paced environment.
- Strong with modern frontend technologies (React/Next.js) and solid backend experience building APIs/services (Node.js/TypeScript, Postgres/Supabase or similar).
- Experience with real-time systems (WebSockets/WebRTC) and integrating AI/LLM SDKs (e.g., Vercel AI SDK, LangChain).
- Comfortable with backend fundamentals: API design, database modeling, caching, background jobs/queues, security basics, and monitoring.
- Strong product mindset and attention to UX—able to sweat the details and ship polished experiences.
- Interest in generative AI, LLMs, RAG pipelines, and agentic architectures.
Remote work requirements:
- Reliable internet connection and ability to work effectively using modern collaboration tools.
Benefits:
- Compensation varies based on profile and experience, but a general cash range (fixed comp + performance variable) is $100,000-$250,000, plus a very competitive equity package.
Seniority Level: Entry level
Employment Type: Full-time
Job Function: Engineering and Information Technology
Full Stack Engineer employer: Convergent
Contact Detail:
Convergent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at CONVERGENT or similar companies on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving full-stack development and AI integrations. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design knowledge. Practice common algorithms and data structures, and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Full Stack Engineer
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us know why you're excited about generative AI and how it drives your work. We love seeing candidates who are genuinely interested in the technology and its potential!
Highlight Your Full-Stack Skills: Make sure to showcase your experience with both frontend and backend technologies. We want to see how you've built features end-to-end, so don’t hold back on those details!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects or experiences that align with our needs, especially around real-time systems and API design. It shows us you’ve done your homework!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Convergent
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like React, Node.js, and Postgres. Brush up on your knowledge of real-time systems and AI integrations, as these will likely come up during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you’ve built features end-to-end. Highlight your role in architecting systems and any challenges you faced, especially those related to performance and reliability. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Product Mindset
Familiarise yourself with the company’s product and its user experience. Be ready to discuss how you can contribute to creating polished experiences and improving UX. Showing that you care about the details will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, challenges they face, and their approach to integrating AI capabilities. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
