Artificial Intelligence Engineer

Every project you take on will target production and client systems, with real use cases and measurable impact.You'll be joining a hands-on team that thrives on solving challenging problems, shipping production-grade systems, and pushing the boundaries of what AI can do in real business environments.What you'll do:Design and implement agent architectures and multi-step orchestrations in PythonBuild with frameworks and runtimes such as LangGraph, LangChain, n8n, AWS Bedrock, and similar toolsIntegrate and evaluate frontier models, e.g., Google Gemini, OpenAI GPT family, and Anthropic ClaudeDevelop connectors to SaaS and enterprise systems via APIs, webhooks, queues, and eventsImplement tools, memory, retrieval, and planning strategies for reliable agent behaviourAuthor a reference agent template / internal SDK (LangGraph patterns, tool adapters, memory/plan primitives) adopted across agentsProductionize prototypes: CI/CD, packaging, containerization, and deployment to cloudInstrument agents for observability: logging, tracing, evaluation, offline analysis, and guardrailsCollaborate with client teams to capture requirements, run experiments, and iterate quicklyFacilitate design thinking workshops to understand business requirements, map user journeys, and translate needs into agent capabilities and success metricsApply security, privacy, and safety best practices for data handling and model usageWho you are:1-2+ years of hands-on experience building LLM-powered agents or complex automationsStrong Python skills, including async programming, testing, and packagingExperience with TypeScript (in addition to Python) is a plus, as it's an emerging language in our stackPractical experience with LangGraph and/or LangChain, plus one or more of: n8n, AWS Bedrock, Airflow, Prefect, Temporal, or similar orchestration toolsWorking knowledge of core model ecosystems: Gemini, OpenAI, and Claude (prompting, tool use, structured output, function calling)Solid data foundations: vector stores, embeddings, RAG patterns, chunking, indexing, and data qualitySoftware engineering fundamentals: Git, code reviews, CI, containerization, cloud services (AWS preferred)Familiarity with ADK (Agent Development Kit) or equivalent frameworks for building and standardizing agent behavioursIf you are interested in this opportunity, please apply now with your updated CV in MS Word format to ******