Datacom

Senior Developer – Tech Lead, AI LAB

Datacom

full-time

Posted on:

Location Type: Hybrid

Location: Auckland • New Zealand

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Job Level

Senior

Tech Stack

AWSAzureCloudDockerKubernetesPythonTypeScript

About the role

  • Join our Digital Engineering team, focusing on delivering innovative AI-driven software solutions.
  • Collaborate with cross-functional teams to design, develop, and use the latest AI Models.
  • Work on cutting-edge projects that address complex business challenges.

Requirements

  • 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
  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonTypescriptML/AIgenerative-AItransformersLangChainLlamaIndexSemantic KernelDockerKubernetes