About the Role:
You will design, build, and ship AI-powered applications that sit at the heart of client engagements — from proof-of-concepts that win deals to production systems that transform how businesses operate. You'll work alongside consultants and data scientists to turn strategy into working software, fast.
What You'll Do:
- Build full-stack web applications (frontend + backend + integrations) that embed AI capabilities — think intelligent dashboards, agentic workflows, document processing pipelines, and conversational interfaces
- Integrate large language model APIs (Anthropic Claude, OpenAI, etc.) into client-facing products using streaming, structured outputs, and tool use
- Develop clean, maintainable UI components and responsive layouts; translate design mockups into polished, demo-ready interfaces
- Write backend services and APIs to support AI features — retrieval-augmented generation (RAG), vector search, data pipelines
- Participate in rapid prototyping sprints, iterating quickly based on client and stakeholder feedback
- Contribute to internal tooling and reusable component libraries that accelerate future engagements
What You Bring:
Must-have
- Proficiency in a modern JS framework (React or Vue) and comfort with HTML/CSS
- Working knowledge of at least one backend language (Python, Node.js, or TypeScript)
- Exposure to LLM APIs — you've called one before and understand prompt construction, tokens, and response handling
- Familiarity with REST APIs and basic database concepts (SQL or NoSQL)
- Strong problem-solving instinct; you can take an ambiguous brief and ship something tangible
Good to have:
- Experience with vector databases (Pinecone, Qdrant, pgvector) or RAG frameworks (LangChain, LlamaIndex)
- Exposure to cloud platforms (AWS, Azure, GCP) or containerisation (Docker)
- Any prior client-facing, freelance, or internship experience
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