Senior AI Developer
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About the role
This is an AI builder role focused on deploying and orchestrating AI capabilities, not building or training AI models. We are looking for a senior practitioner (5+ years of experience) who is deeply hands-on with AI tools and can design, build, and iterate on AI-powered workflows, agents, and integrations.
You will not be researching, training, or fine-tuning AI models. Instead, you will be the person who takes existing frontier AI models and turns them into reliable, production-ready systems that solve real problems.
Key responsibilities
Design and build AI-powered workflows, automation pipelines, and agentic systems using AI-native platforms and APIs
Configure and deploy AI agents using Claude, Gemini, or equivalent LLMs - including tool use, memory, and multi-step reasoning
Engineer prompts and system instructions that produce reliable, structured, production-ready AI outputs
Build and maintain RAG (Retrieval-Augmented Generation) setups: knowledge bases, embeddings, and retrieval pipelines
Evaluate AI outputs, identify failure modes, and iterate on prompts, context, and tool configurations
Integrate AI capabilities into existing products and internal tools using APIs and connectors - scripting in Python or similar as needed
Stay ahead of the AI tooling landscape and proactively recommend better approaches as the ecosystem evolves
Requirements
5+ years of experience in software development or AI engineering
Proven hands-on experience building with LLMs - agents, prompt engineering, RAG, or AI workflow automation
Deep familiarity with AI platforms and tools: Claude, Gemini, ChatGPT, or equivalents
Ability to evaluate and compare AI tools critically, not just use them, but know when and why to use each
Proficient in Python or similar for API integrations, glue code, and workflow automation
Strong logical thinking and systematic approach to debugging AI behaviour
Clear communicator who can explain AI capabilities and limitations to non-technical stakeholders
Experience with AI agent frameworks: LangChain, LlamaIndex, AutoGen, Claude Agent SDK, or n8n
Familiarity with MCP (Model Context Protocol) or building custom AI tool integrations
Exposure to vector databases (Pinecone, Weaviate, pgvector) and embedding workflows
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