Senior Software Developer - Application Development

Summary

Join Datacom's Digital Engineering team and contribute to the development of innovative AI-driven software solutions. This role involves working on cutting-edge projects, collaborating with cross-functional teams, and utilizing the latest AI models to address complex business challenges. As a Senior/Tech Lead Developer, you will play a key role in Datacom's significant AI uplift, impacting the New Zealand market. Passion for AI development and a strong software background are essential. This is an opportunity to work for a leading IT services company and make a global impact. Datacom offers a dynamic work environment with various perks, including remote work, flexible hours, and professional development opportunities.

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

Responsibilities

• Develop innovative AI-driven software solutions
• Work on cutting-edge projects
• Collaborate with cross-functional teams
• Utilize the latest AI models to address complex business challenges

Preferred Qualifications

• 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

Benefits

• Remote working
• Flexi-hours
• Professional development courses