Power tech Digital Limited

We're a small, high-output technology consultancy based in London, building AI-powered platforms for the construction and real estate industry. We work with enterprise clients and develop our own products. You'll be building real things that ship.

We're looking for a full-stack developer who has hands-on experience integrating AI into products - not just someone who's done a tutorial on LangChain, but someone who's actually built features powered by LLMs, embeddings, or AI APIs and shipped them to real users.

What you'll do

Build and maintain full-stack web applications using React/Next.js on the frontend and Node.js or Python on the backend

Integrate LLM APIs (Claude, OpenAI, etc.) into production workflows — including prompt engineering, structured outputs, tool use, and retrieval-augmented generation

Work with MCP (Model Context Protocol) servers and AI agent architectures as part of our platform integrations

Design and build APIs that connect AI capabilities to user-facing features

Contribute to data pipelines that feed AI systems — document parsing, embedding generation, vector storage

Work directly with the team on architecture decisions — no layers of project managers

What we're looking for

3–8 years of professional full-stack development experience

Strong React/Next.js and Node.js or Python (ideally both)

Genuine, demonstrable experience integrating AI/LLM capabilities into a product — tell us what you built, how the AI was used, and what you learned

Familiarity with at least some of: LangChain, LlamaIndex, vector databases (Pinecone, Weaviate, pgvector), embedding models, RAG pipelines, prompt engineering patterns

Comfortable with REST APIs, PostgreSQL, and modern deployment (Docker, CI/CD)

Exposure to or interest in MCP (Model Context Protocol), AI agents, and tool-use patterns is a strong plus

Solid written English — you'll be communicating daily with a UK-based team via async standups and weekly video calls

Willingness to overlap with UK hours for at least 4–5 hours daily (roughly 1:30 PM – 6:30 PM IST)

Product company or startup background preferred over services/outsourcing firms

What we offer

Cutting-edge AI and LLM work — not a legacy codebase

Exposure to MCP integrations, Claude API, and modern AI tooling before most developers even hear about it

Potential for long-term engagement with room to grow into a tech lead role

Flexible hours outside the overlap window

One paid day off per month

We're a small, high-output product and technology consultancy based in London, building AI-powered platforms for the construction and real estate industry.

We need a sharp QA engineer who genuinely cares about product quality - not someone who just runs scripts, but someone who thinks like a user and breaks things creatively.

What you'll do

Own end-to-end quality across multiple web platforms in active development

Build and maintain automated test suites using Playwright, including integration with Playwright MCP Server for AI-assisted testing workflows

Design test strategies for new features - working directly with developers, not through layers of management

Perform exploratory and regression testing alongside automation

Communicate findings clearly and concisely in written English - you'll be working directly with a UK-based team

What we're looking for

3–6 years of hands-on QA experience, with a genuine track record in product environments (not just outsourcing/services)

Strong experience with Playwright (test authoring, CI integration, trace debugging)

Familiarity with Playwright MCP Server or eagerness to work with AI-augmented testing tools

Exposure to other testing frameworks (Cypress, Selenium, Postman/Newman) is a plus

Comfortable with API testing, browser dev tools, and reading application logs

Solid written and verbal English — you'll participate in daily async standups and weekly video calls

Willingness to overlap with UK hours for at least 4–5 hours daily (roughly 1:30 PM – 6:30 PM IST)

Experience or genuine interest in product-led environments — we want someone who flags UX issues, not just functional bugs

What we offer

Exposure to AI, MCP integrations, and modern dev tooling with Claude Max subscription

Possibility of longer-term engagement with room to grow the role

Flexible hours outside the overlap window

One paid day off per month