Staff AI Engineer

🕒 Março 3

⛰️ Colorado, North Carolina – Remoto

⛰️ Colorado – Remote 🌲 North Carolina – Remote

💵 $190.000 - $225.000 / ano

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

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TIFIN

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2018

Fundada em 2018, a TIFIN é uma plataforma de IA e inovação para melhores resultados em gestão de patrimônio. Fundada pelo Dr. Vinay Nair, a TIFIN cria e opera novas empresas que aplicam ciência de dados, IA e tecnologia para resolver atritos na gestão de patrimônio e ativos. As empresas da TIFIN já incluíram a 55ip (vendida para o JP Morgan) e atualmente incluem a Paralel, Magnifi, TIFIN Wealth, TIFIN Give, TIFIN AG, TIFIN AMP, Sage, Helix, TIFIN@Work e TIFIN India. A TIFIN é apoiada por JP Morgan, Morningstar, Hamilton Lane, Franklin Templeton, Motive Partners e Broadridge, entre outros.

Descrição

• Design and implement production-grade multi-agent systems using modern agent frameworks (e.g., Pydantic AI, Agent Harness, Tool-Calling, Code Execution) • Build agent workflows that integrate context retrieval, reasoning, tool execution, validation, and compliance checks • Develop distributed services for agent execution with strong observability, monitoring, and failure handling • Establish evaluation frameworks for multi-step reasoning accuracy, groundedness, hallucination mitigation, and financial correctness • Implement memory management, context handling, and agent state persistence strategies • Partner with product, design, and engineering teams to translate business requirements into robust agent architectures • Optimize systems for latency, cost efficiency, and reliability in production • Contribute to infrastructure decisions around model serving, vector databases, caching, and orchestration layers

🎯 Requisitos

• 3+ years of experience building and shipping Generative AI and LLM applications into production • 6+ years of ML experience • Demonstrated experience designing and deploying multi-agent systems of various architecture • Strong experience with multimodal LLMs, knowledge graph, data synthesis, LLM fine tuning, reinforcement learning, agent harness, agent memory • Deep proficiency in Python and modern AI frameworks • Experience with distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerized deployments • Experience implementing monitoring, evaluation, and reliability safeguards for AI systems • Strong systems thinking — ability to design beyond single-model solutions toward coordinated, multi-component architectures • Resilience and adaptability - experience working at early-stage startups is a plus

🏖️ Benefícios

• Comprehensive health, dental and vision coverage • Retirement benefits • Flexible PTO • Meaningful equity stake in overall package