Senior Developer / Tech Lead - AI LAB

Our purpose Here at Datacom we connect people and technology in order to solve challenges, create opportunities and discover new possibilities for the communities we live in About the Role (your why) The way we work and our customer needs are changing! We are going through a significant AI uplift that will be a real game changer in the NZ Market. Our customers are loving our story and excited about our new service solutions. As such we are seeking Senior/Tech Leads, and Senior Developers, who want to get on board our AI journey. We need someone who is passionate about AI development and wants to push boundaries. Your software background is key but your passion for AI is a must. This role will see you will join our Digital Engineering team, focusing on delivering innovative AI‑driven software solutions. We will offer you opportunity to work on cutting‑edge projects, collaborating with cross‑functional teams to design, develop, and use the latest AI Models that address complex business challenges. We need multiple people but we need them now so please don't hesitate this is your chance to put a New Zealand company on the global map!!! What you’ll bring Must-haves 7+ years professional software development (Python and Typescript preferred) with production ML/AI experience Demonstrated delivery of at least one generative‑AI solution in production (chatbot, summariser, code assistant, etc.) Deep familiarity with transformers and orchestration stacks such as LangChain v0.2+ , LlamaIndex or Semantic Kernel Practical experience deploying or fine‑tuning models on Azure OpenAI / AI Foundry or AWS Bedrock / SageMaker Hands‑on with RAG patterns, vector databases and evaluation metrics (BLEU, ROUGE‑L, GPTScore) Cloud‑native engineering skills: Docker, Kubernetes (AKS/EKS), infra‑as‑code and automated testing Nice-to-haves Agent frameworks (AutoGen 0.2/0.4, CrewAI) and tool‑using agents. Multimodal model workflows (image‑text with GPT‑4o, Gpt4o real‑time API). Experience with embedding models Workspace automation using agentic frameworks Advanced RAG variants – familiarity with LongRAG, Self‑RAG, GraphRAG and the trade‑offs between leading vector stores (Pinecone, Qdrant, FAISS, Azure AI Search) Multimodal & streaming LLMs – delivering real‑time GPT‑4o or Gemini 2 Ultra use‑cases (image to text or speech) and cross‑modal embeddings. #J-18808-Ljbffr