Junior Full-Stack Engineer - LLM-Powered Products x2

Established in Canada in 2015, Valsoft has grown to a global portfolio of 118+ companies, acquiring and developing vertical market software companies, enabling each business to deliver the best mission-critical solutions for customers in their respective industries. A key tenet of Valsoft's philosophy is to invest in well-established businesses and foster an entrepreneurial environment that molds companies into leaders in their respective industries. Valsoft looks to buy, hold, and create value through long-term partnerships with existing management.

What You'll Do

• Build user-facing features in React/Next.js and hook them to back-end APIs you write in TypeScript (Node) or Python (FastAPI).
• Craft and version prompts; experiment with tools like LangChain to chain calls and log outputs for review.
• Use AI pair-programming tools (Cursor, Windsurf, Copilot, etc.) to speed up coding, refactors, and test generation.
• Spin up deployments via Vercel / Fly.io or GitHub Actions, debug when things break, and celebrate the green check-mark.
• Join product brainstorms-your side-project instincts are welcome.
• Keep an eye on basic metrics (load time, error rate) and squash bugs before users tweet them.

Must-Haves

• Solid grasp of JavaScript/TypeScript and React plus comfort in either Node or Python back-end work.
• Comfort with AI code editors-show us a commit, video, or repo where you actually used one.
• Basic Git workflows: branch PR merge, and you know why CI turns the build red.
• Familiarity with any deploy flow (Vercel button, Fly.io, Heroku, GitHub Actions, etc.).
• Curiosity for how products delight users, not just how code compiles.
• Proven fluency in working with REST/GraphQL APIs-comfortable crafting and parsing JSON payloads, debugging requests with Postman/Insomnia or browser dev-tools, and handling error codes/retries.
• Hands-on experience iterating prompts in tools like ChatGPT, Cursor, or Windsurf. You can show how prompt tweaks changed an LLM's output to match a specific product need.

Nice-to-Haves

• LangChain, LlamaIndex, or any RAG experiment on your GitHub.
• Vector database dabbling (pgvector, Pinecone).
• A side project people outside your family have used.

Our Stack

• React 18
• Next.js
• Node 20
• FastAPI
• OpenAI & Anthropic APIs
• Postgres + pgvector
• Vercel
• Fly.io
• GitHub Actions
• Cursor & Windsurf for daily coding

Hiring Process (max 10 days)

1. 30 min intro call - culture & salary chat, bring questions.
2. 2 hr take-home - build a tiny LLM-powered feature and push via GitHub Actions (we pay £50 for your time).
3. 60 min tech talk - walk through your code, refactor a piece live (AI editor allowed).
4. Founder chat - product vision and growth path.
5. Offer - within 48 hrs.

This role is Hybrid London (2 days/wk in London) with a M-series MacBook, £1k annual learning budget, and a 5% bonus of salary.

Why You'll Love It

• Ship real stuff fast - small team, weekly releases, instant user feedback.
• Play with cutting-edge toys - OpenAI, Anthropic, or custom LLM endpoints, vector stores, and AI code editors (Cursor, Windsurf, Copilot).
• Mentorship that matters - direct pairing with a senior lead; you'll see how product decisions are made, not just tickets.
• Clear growth path - successful product launch will lead to a clear path to mid-level within 18 months.