Offshore 24/7
51 - 200 employees
Founded 2021
🤝 B2B
🎯 Recruiter
B2B • Recruitment
Offshore 24/7 is an Australian-focused offshore staffing provider that helps Australian businesses build dedicated remote teams in the Philippines. The company places and manages Philippines-based professionals across a wide range of roles — from virtual assistants, bookkeepers, and paralegals to IT specialists, engineers, and customer support — offering fully managed onboarding, HR, payroll, and ongoing support. Offshore 24/7 emphasizes cost savings (up to ~70%), cultural and communication alignment for Australian clients, a five-stage vetting process, and local points of contact with offices in the Philippines (Clark Freeport Zone) and Australia (Melbourne). The firm targets Australian SMEs and enterprises across many industries and promotes free strategy sessions and a managed staffing solution.
AI Engineer, LangGraph, RAG
Job not on LinkedIn
🕒 June 11
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Offshore 24/7
51 - 200 employees
Founded 2021
🤝 B2B
🎯 Recruiter
B2B • Recruitment
Offshore 24/7 is an Australian-focused offshore staffing provider that helps Australian businesses build dedicated remote teams in the Philippines. The company places and manages Philippines-based professionals across a wide range of roles — from virtual assistants, bookkeepers, and paralegals to IT specialists, engineers, and customer support — offering fully managed onboarding, HR, payroll, and ongoing support. Offshore 24/7 emphasizes cost savings (up to ~70%), cultural and communication alignment for Australian clients, a five-stage vetting process, and local points of contact with offices in the Philippines (Clark Freeport Zone) and Australia (Melbourne). The firm targets Australian SMEs and enterprises across many industries and promotes free strategy sessions and a managed staffing solution.
📋 Description
• Architect and implement LangGraph-based agent systems • Design multi-step reasoning workflows • Build RAG pipelines and integrate LLM providers into production-grade systems • Collaborate with the Head of Engineering and Product team • Own real architecture decisions impacting user experience • Build conversational nutrition assistant with stateful memory • Develop tool-enabled agents querying internal APIs and databases • Create observability, logging, and evaluation frameworks for LLM outputs • Improve reliability, latency, and cost efficiency of AI systems
🎯 Requirements
• 3+ years experience as an AI or ML engineer building and deploying production systems • Hands-on LangChain experience and strong production LangGraph experience • Deep understanding of agent design patterns — tool use, memory handling, graph orchestration • Experience integrating OpenAI, Anthropic, or similar LLM providers into structured agent pipelines • Strong backend experience with Node.js and Express • Experience implementing RAG pipelines with embeddings and vector databases • Practical knowledge of prompt design, structured outputs, and evaluation frameworks • Experience with user behavioural data and recommendation systems • Python familiarity for AI experimentation, evaluation, or model workflows • Experience deploying AI systems on cloud platforms — AWS, GCP, or Azure
🏖️ Benefits
• ₱180,000 – 200,000 per month • Contractor arrangement — direct payment • 100% work from home • Monday to Friday | 8:00 AM – 5:00 PM AEST • Long-term role with a fast-growing Australian health tech startup • Own real architecture decisions that ship to production
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