10 дней назад
Senior Applied AI Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Applied AI Engineer (Python/TypeScript, LangGraph/LangChain): Building and shipping LLM-powered agentic systems, evaluation pipelines, and customer-facing integrations for a regulatory intelligence SaaS platform with an accent on orchestration, retrieval optimization, and production observability. Focus on designing reliable RAG workflows, detecting hallucinations, tuning cost and latency, and deploying GenAI services through LLMOps practices.
Location: Singapore; hybrid working arrangement
Company
provides an agentic AI regulatory operating system for life sciences and consumer products companies, combining regulatory intelligence, expert knowledge, and workflow execution across 160+ markets.
What you will do
- Design and implement agent workflows with LangGraph and LangChain, focusing on orchestration, observability, and debugging.
- Build automated evaluation pipelines for factuality, robustness, hallucination detection, and guardrails.
- Optimize embedding models, vector stores, and RAG pipelines for regulatory content.
- Integrate agentic services into the Node and React platform alongside product engineering.
- Maintain prompt pipelines and optimize production systems for cost, latency, and accuracy.
- Deploy, monitor, and continuously improve GenAI services, preferably with Azure ML Studio, Azure OpenAI, and Azure AI Foundry.
Requirements
- Production experience with LangGraph, LangChain, or comparable agent frameworks.
- Experience owning LLM evaluation and observability for production systems.
- Strong knowledge of embedding models, vector databases, and retrieval optimization, including Pinecone, Weaviate, FAISS, or Mongo Atlas Vector Search.
- Strong Python engineering skills with FastAPI, Transformers, or spaCy, plus working proficiency in TypeScript, Node, and React.
- Experience with SQL and NoSQL data modeling and retrieval, as well as CI/CD, monitoring, scaling, and cost control.
- Ability to explain system behavior and evaluation results to non-technical regulatory and commercial stakeholders.
Nice to have
- Experience with LLM fine-tuning or adaptation using LoRA, QLoRA, or DPO.
- Knowledge of graph databases, knowledge graphs, or hybrid RAG.
- Experience with continuous evaluation and A/B testing frameworks for production agents.
- Background in compliance, life sciences, or regulatory intelligence.
Culture & Benefits
- Flexible hybrid working arrangements.
- High-impact work at the intersection of AI, SaaS, compliance, and regulatory intelligence.
- Continuous learning and professional development opportunities.
Hiring process
- Submit a resume for consideration.
- Selected candidates will be contacted for an interview.
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