About the Role
This is an AI builder role focused on deploying and orchestrating AI capabilities, and 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. We currently use Claude and Gemini as our primary AI platforms, but welcome candidates who bring strong knowledge of other tools.
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 which include 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
Nice to Have
- Experience with AI agent frameworks: LangChain, LlamaIndex,AutoGen, Claude Agent SDK, or n8n
- Familiarity with MCP (Model Context Protocol) or building customAI tool integrations
- Exposure to vector databases (Pinecone, Weaviate, pgvector) and embedding workflows
Why Join Us
- AI is the product - not a side initiative
- Fast-moving team where you ship AI capabilities directly into the hands of users
- Competitive compensation with merit-based growth
- Culture that rewards curiosity, practical experimentation, and self-initiation