Senior R&D/AI Developer

AUGMENTUS PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading robotics software company in Singapore is seeking a skilled Software Developer to design and deploy efficient solutions for robotics. The ideal candidate will engage in Agile activities, collaborate with teams, and work with tools such as Python and JavaScript. This role offers an opportunity to contribute to innovative robotics projects and enhance software reliability through effective monitoring and data integration. Competitive compensation and growth opportunities are provided.

Qualifications

• Experience in designing and deploying efficient software solutions.
• Strong understanding of Agile development practices.
• Familiarity with data integration and monitoring processes.

Responsibilities

• Design, develop, test, and deploy software for robotics.
• Participate in Agile activities and maintain project documentation.
• Deploy and maintain AI models for reliability.

Skills

Python

JavaScript

Agile methodologies

Data integration

Tools

n8n

Supabase

Pinecone

Huggingface

NotebookLM

Job description

Research andPrototyping

• Design, develop, test, and deploy robust and efficient software for robotics andperceptionsystems, with a focus on rapid iteration and prototyping.

Participatein the Agile Development Cycle

• Actively contribute to Agile activities such as sprint planning, daily stand-ups, and retrospectives.Document project details, technical specifications, and process updateson Confluence tomaintaintransparency and knowledge sharing.Collaborate closely with other software teams to translate research concepts into functional prototypes.

Develop andmaintainagenticpipelines.

• Use tools includingn8n,Python,JavaScript,Supabase,Pinecone,HuggingfaceandNotebookLM.

RAG & Knowledge Management

• Build vector databases, chunking/embedding strategies, guardrails, andevaluation strategies.

MLOps:

• Deploy AI modelsandmaintainfor reliability and speed.Implementknowledge base,evaluation pipelines, model versioning, and deployment workflows to production environments.Performdata collection, datasanitation,prompt engineering, context engineering, database optimization, token minimization.

Data Integration, Monitoring, and Reliability

• Integrate multiple data sources and services (e.g., CRM, support tools, product analytics, internaldatabases).Implement logging, error handling, and monitoring for automation workflows to ensure reliability and traceability.Test and debug flows, APIs, and scripts for production readiness.