AI & LLM Integration
Embed real intelligence into your product - not just a chatbot wrapper.
I build AI-powered features and standalone AI products using LangChain, LangGraph, and OpenAI/Claude APIs. From retrieval-augmented generation (RAG) pipelines to multi-agent orchestration, memory systems, and streaming interfaces - I engineer AI that works reliably in production, not just in demos.
Who this is for
SaaS products that want to add AI features without rebuilding from scratch. Startups building an AI-first product from day one. Companies with unstructured data who need extraction, summarisation, or classification pipelines. Teams with an OpenAI API key but no AI engineering expertise.
01 Use Cases
A B2B SaaS company
wants to add AI-powered features - document Q&A, smart search, or automated report generation - into their existing product
gets a production-ready LangChain integration with proper memory management, streaming responses, and cost-controlled prompting
A startup building an AI product
needs a multi-agent workflow that can autonomously research, analyse, and synthesise information from multiple sources
receives a LangGraph orchestration pipeline with clearly defined agent roles, error handling, and LangSmith observability
An operations team
needs to automate document processing - extracting structured data from PDFs, contracts, or reports at scale
gets a reliable extraction pipeline with structured output validation, human-review fallbacks, and audit logging
02 My Process
Use Case Scoping
I identify where AI genuinely adds value in your product - and where it doesn't. No AI for AI's sake.
Prompt Engineering
I design and test structured prompts for consistent, domain-specific output - not generic LLM responses.
Pipeline Build
LangChain/LangGraph implementation with memory, tool use, streaming, and observability via LangSmith.
Integration & Testing
Embedded into your existing stack with proper error handling, cost guardrails, and fallback behaviour.
03 Related Work
Have a project in mind?
Whether you need a contractor for a defined scope or a full-time engineer on your team - I'm open to both.