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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.

Available as:Freelance ContractFull-Time EmploymentProject-Based
LangChainLangGraphOpenAI APIClaudeRAGPrompt EngineeringPython

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

Scenario 1

A B2B SaaS company

wants to add AI-powered features - document Q&A, smart search, or automated report generation - into their existing product

Outcome

gets a production-ready LangChain integration with proper memory management, streaming responses, and cost-controlled prompting

Scenario 2

A startup building an AI product

needs a multi-agent workflow that can autonomously research, analyse, and synthesise information from multiple sources

Outcome

receives a LangGraph orchestration pipeline with clearly defined agent roles, error handling, and LangSmith observability

Scenario 3

An operations team

needs to automate document processing - extracting structured data from PDFs, contracts, or reports at scale

Outcome

gets a reliable extraction pipeline with structured output validation, human-review fallbacks, and audit logging

02 My Process

01

Use Case Scoping

I identify where AI genuinely adds value in your product - and where it doesn't. No AI for AI's sake.

02

Prompt Engineering

I design and test structured prompts for consistent, domain-specific output - not generic LLM responses.

03

Pipeline Build

LangChain/LangGraph implementation with memory, tool use, streaming, and observability via LangSmith.

04

Integration & Testing

Embedded into your existing stack with proper error handling, cost guardrails, and fallback behaviour.

03 Related Work

Let's work together

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.