Software Engineer

We are looking for a Software Engineer to join our AI team, focused on developing, extending, and maintaining our AI-powered API that drives the Planet Price sustainability analytics platform. This role is ideal for an engineer who enjoys building production AI services, integrating new data and models, and ensuring high reliability and performance in a cloud-native environment. You'll work closely with our AI lead and data scientists, primarily on backend/API and data-centric development.

AI System & API Engineering

• Support, extend, and optimise the core AI services that power our API, used by the Planet Price platform
• Integrate and fine-tune AI/ML models for sustainability impact calculation, data mapping, and automated classification
• Maintain, monitor, and improve existing inference pipelines and API endpoints
• Implement and support data ingestion, validation, and transformation for large-scale procurement/environmental datasets
• Ensure API robustness, low latency, and scalability across cloud environments
• Collaborate with the AI/ML team to deploy new models and develop automated workflows for model retraining or updating

Data & Backend Engineering

• Develop and optimize backend systems and data pipelines for automated data mapping, semantic search, and sustainability analytics
• Build and maintain database integrations (SQL, vector DBs) to support new AI features and datasets
• Support and extend system monitoring, error reporting, and logging for production AI services

Collaboration & Documentation

• Work closely with data scientists, ML engineers, and platform engineers to ensure seamless integration of AI features
• Write and maintain technical documentation for APIs, model integrations, and backend workflows
• Follow best practices in version control, CI/CD, testing, and code review for production AI systems

Education

Bachelor's degree in Engineering, Computer Science, or related field

Technical Skills

• Programming Languages: Proficiency in Python (required), with additional experience in Golang, Java, or similar languages preferred
• Cloud Platforms: Experience with AWS or other major cloud providers
• Databases: Working knowledge of SQL databases and vector databases (Pinecone, Weaviate, ChromaDB, etc.)
• AI/ML Technologies: Experience with machine learning frameworks, data processing libraries, AI model integration, semantic search systems, and AI orchestration tools (LangChain, LangGraph, etc.)
• Development Tools: Familiarity with version control systems, CI/CD pipelines, and project management tools
• APIs & Integration: Experience building and consuming RESTful APIs and third-party integrations

Professional Experience

• Proven experience in full-stack software development with cloud-native architectures
• Experience with team leadership and managing complex technical projects
• Background in AI (LLM) implementation fordata processing and analytics applications
• Experience with data processing, optimization, and automated systems
• Track record of delivering scalable software solutions with API integrations
• Experience with CSV data processing and automated data mapping systems

Preferred Qualifications

• Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI workflows
• Background in building data analytics platforms and automated data processing systems Experience with API development for third-party integrations and software vendor
• partnerships
• Knowledge of cloud-native development and modern software architecture patterns
• Experience with large dataset processing, optimization algorithms, and semantic search systems
• Understanding of data security and confidentiality best practices
• Background in integrating AI models for automated data mapping and classification

Key Competencies

• Strong analytical and problem-solving skills
• Excellent communication and leadership abilities
• Ability to translate business requirements into technical solutions
• Experience with customer feedback integration and requirement gathering
• Proven ability to work in fast-paced, dynamic environments

Salary: $90-$100k

Location: Melbourne (Hybrid work environment)

Employment Type: Full-time, Permanent