AI Engineer – LangGraph, RAG

Job not on LinkedIn

🔥 35 minutes ago

🇵🇭 Philippines – Remote

💵 ₱180k - ₱200k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Offshore 24/7

WebsiteLinkedInAll Job Openings

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 ship a LangGraph powered conversational nutrition assistant • Build stateful memory, structured outputs and guardrails • Develop multi step reasoning workflows combining user profile data, behavioural data and contextual signals • Build tool enabled agents that query internal APIs and databases for personalised recommendations • Implement production retrieval augmented generation pipelines using embeddings and vector databases • Develop Node.js and Express middleware supporting AI orchestration • Build observability, logging and evaluation frameworks for LLM outputs • Improve system reliability, speed and operating cost over time • Work directly with the Head of Engineering and Product team • Translate nutrition science and real user data into a production grade conversational system • Own architecture decisions through production delivery • Shape future AI work including recommendation engines and intelligent coaching features

🎯 Requirements

• At least 3 years of experience as an AI or ML Engineer building and deploying production systems • Strong production experience with LangGraph, and hands on experience with LangChain • Experience with LangSmith for tracing, evaluation or monitoring of LLM systems • Deep understanding of agent design patterns, including tool use, memory handling and graph orchestration • Strong backend experience building services in Node.js and Express • Experience implementing RAG pipelines in production with embeddings and vector databases • Practical knowledge of prompt design, structured outputs and evaluation frameworks • Experience integrating OpenAI, Anthropic or similar LLM providers into structured agent pipelines • Availability to work Monday to Friday, 7:00 AM to 4:00 PM Philippine time • Python for AI experimentation, evaluation or model workflows • Experience deploying AI systems on AWS, GCP or Azure • Experience with user behavioural data and recommendation systems • Experience building AI for health, nutrition or wellness products • Experience designing systems that handle sensitive personal data • Familiarity with AI safety, guardrails and responsible AI practice • Experience building multi agent or hybrid deterministic plus LLM systems • Experience in fast moving startup environments

🏖️ Benefits

• ₱180,000 to ₱200,000 per month • Contractor arrangement with direct payment • 100% work from home • Monday to Friday, 7:00 AM to 4:00 PM PHT • Long term, ongoing role with a fast growing Australian health technology company • Ownership of real architecture decisions that ship to production • Annual rate and performance review • Comprehensive training and ongoing professional development • Regular staff events and team activities • Direct exposure to Australian clients and business practices • Health and nutrition technology company environment