AI Engineer – LangGraph, RAG

This is a fully remote position, open to applicants in Philippines.

📋 Description

• Design and launch a conversational nutrition assistant powered by LangGraph.

• Create stateful memory, structured outputs, and guardrails.

• Develop multi-step reasoning workflows that integrate user profile data, behavioral data, and contextual signals.

• Construct tool-enabled agents that can query internal APIs and databases for personalized recommendations.

• Implement production retrieval augmented generation (RAG) pipelines utilizing embeddings and vector databases.

• Create Node.js and Express middleware to support AI orchestration.

• Establish observability, logging, and evaluation frameworks for LLM outputs.

• Enhance system reliability, speed, and operating costs over time.

• Collaborate directly with the Head of Engineering and the Product team.

• Translate nutritional science and real user data into a production-quality conversational system.

• Take ownership of architectural decisions throughout the production delivery process.

• Influence future AI initiatives, including recommendation engines and intelligent coaching features.

⛳️ Requirements

• Minimum of 3 years of experience as an AI or ML Engineer in building and deploying production systems.

• Solid production experience with LangGraph, along with hands-on experience using LangChain.

• Familiarity with LangSmith for tracing, evaluating, or monitoring LLM systems.

• Profound understanding of agent design patterns, including tool usage, memory management, and graph orchestration.

• Extensive backend experience in creating services with Node.js and Express.

• Experience with implementing RAG pipelines in a production environment using embeddings and vector databases.

• Working knowledge of prompt design, structured outputs, and evaluation frameworks.

• Proven ability to integrate OpenAI, Anthropic, or similar LLM providers into structured agent pipelines.

• Availability to work from Monday to Friday, 7:00 AM to 4:00 PM Philippine time.

• Proficiency in Python for AI experimentation, evaluation, or model workflows.

• Experience in deploying AI systems on AWS, GCP, or Azure.

• Knowledge of user behavioral data and recommendation systems.

• Background in developing AI solutions for health, nutrition, or wellness products.

• Experience in designing systems that handle sensitive personal information.

• Understanding of AI safety, guardrails, and responsible AI practices.

• Experience creating multi-agent or hybrid deterministic plus LLM systems.

• Familiarity with fast-paced startup environments.

🏝️ Benefits

• Monthly salary ranging from ₱180,000 to ₱200,000.

• Contractor arrangement with direct payment.

• 100% remote work opportunity.

• Work schedule from Monday to Friday, 7:00 AM to 4:00 PM PHT.

• Long-term, ongoing position with a rapidly growing Australian health technology firm.

• Authority over significant architectural decisions that lead to production delivery.

• Annual salary and performance evaluations.

• Comprehensive training and continuous professional development.

• Regular staff events and team-building activities.

• Direct engagement with Australian clients and business practices.

• Experience in a health and nutrition technology company environment.