AI Engineer – LangGraph, RAG
Posted 9 days ago
You'll complete your application on Offshore 24/7's career site.
About the Role
An AI Engineer is needed for a rapidly expanding Australian health tech firm. You will spearhead the design and deployment of a nutritional assistant driven by LangGraph. Your duties involve converting intricate nutrition concepts and user information into a premium production environment, which will directly improve the platform's capacity for personalized guidance and intelligent coaching. By partnering closely with the product team and the Head of Engineering, you will possess full authority over key architectural choices, spanning from the conceptual phase to final implementation. This role provides a distinct chance to influence the progression of AI capabilities in a health-oriented setting, with an emphasis on platform scalability, system performance, and long-term reliability.
Requirements
- You need a minimum of three years of professional background as an ML or AI engineer, specifically in the creation and launch of systems meant for production.
- You must demonstrate practical expertise in LangChain and LangGraph, including a thorough grasp of graph orchestration, memory management, and agentic design patterns.
- You are required to be proficient in backend coding with Express and Node.js.
- You should have experience setting up RAG pipelines, which includes the use of vector databases and embeddings.
- You need to be capable of handling prompt engineering, evaluation systems, and structured outputs, as well as integrating LLM services like Anthropic or OpenAI into agentic workflows.
- You must have knowledge of AI guardrails and safety protocols, as well as experience deploying on cloud providers like Azure, GCP, or AWS.
- You should be able to thrive within a high-paced startup culture.
Responsibilities
- You will design and deploy a complex conversational AI solution featuring structured outputs, stateful memory, and secure guardrails.
- You will create workflows for multi-step reasoning that combine user profiles, behavioral trends, and situational data to generate tailored guidance.
- You will construct production-grade retrieval augmented generation pipelines, create Node.js middleware for AI management, and set up extensive evaluation, logging, and monitoring systems for LLM performance.
- You will design agents equipped with tools that connect to private APIs and databases, while focusing on enhancing response times, operational efficiency, and system consistency.
- You will help define the strategic direction for upcoming intelligent coaching modules and recommendation engines within the application.
Benefits & Perks
- Monthly salary range of 180,000 to 200,000 Philippine pesos, paid directly via a contractor agreement.
- 100% remote work arrangement from Monday to Friday, between 7:00 AM and 4:00 PM Philippine time.
- Long-term employment prospects with an emerging Australian organization, featuring yearly performance and rate assessments.
- Access to comprehensive professional development and training opportunities.
- Opportunities to engage in team activities and learn Australian business methods while maintaining ownership of product architecture.
Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.
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