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Applied AI Engineer

🕒 6 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $105.000 - $165.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

Publicada na página de carreiras da FICO, não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship 6 dias atrás

Ainda aberta no site da FICO. Verificada 2 minutos atrás.

Logo of FICO

FICO

1001 - 5000 funcionários

Fundada em 1956

💼 Consultoria

🛡️ Seguros

🏥 Saúde

Consulting • Insurance • Healthcare

FICO é uma empresa líder em analytics e software, reconhecida pelo FICO® Score, uma ferramenta amplamente utilizada por credores para avaliar o risco de crédito. A empresa oferece uma plataforma abrangente que aproveita dados, IA e machine learning para impulsionar a tomada de decisões inteligentes e o engajamento de clientes em diversos setores. As soluções da FICO abrangem detecção de fraudes, credit scoring e gestão do ciclo de vida do cliente, tornando-a vital para segmentos como serviços financeiros e telecomunicações. Seus produtos inovadores ajudam as empresas a otimizar resultados por meio de analytics em tempo real, composabilidade de negócios e gestão de cenários.

Descrição

• Own the quality, safety, and performance of AI-powered consumer features • Own and improve system prompts, tool descriptions, and evaluation prompts for Personalized Credit Insights and the AI chat assistant • Build and expand the LLM evaluation framework • Convert production failures into test cases and run regression suites before prompt or model changes • Report evaluation results to business stakeholders • Measure LLM-based evaluator reliability against human-labeled data using precision, recall, and agreement • Design, tune, and monitor guardrails including classifiers, PII redaction, prompt-injection defenses, and financial-advice compliance rules • Lead model upgrades by evaluating quality, cost, and latency and deploying safely through A/B tests • Reduce cost and latency through prompt caching, model routing, and context management • Build transcript viewers, labeling workflows, dashboards, and other tools for Conversation Analysts and QA engineers • Partner with Analytics, Legal, and Compliance on fairness and bias evaluation • Use AI coding assistants and agentic workflows to accelerate delivery while reviewing and refining generated output

🎯 Requisitos

• Bachelor's or Master's in Computer Science, Engineering, or a related field, with demonstrated professional software engineering experience • Strong Python skills • Ability to read and contribute to Java (Spring Boot) microservices • Proven experience building and operating LLM-powered applications in production • Experience with prompt design, tool calling, structured outputs, and streaming • Experience building evaluations for LLM systems, including test sets, regression suites, LLM-as-judge approaches, and measuring evaluator quality against human labels • Working knowledge of Amazon Bedrock or a comparable managed LLM platform • Experience with AWS services such as S3, Lambda, and DynamoDB • Proficient SQL and comfort analyzing production data in a data warehouse such as Amazon Redshift • Production ownership including code review, CI/CD, release management, and on-call support • Experience working within Agile/Scrum teams • Strong written and verbal communication skills • Experience with guardrail tooling, LLM security testing, RAG and retrieval evaluation, fairness and bias evaluation, model migrations, Datadog, Tableau, or regulated domains is a plus

🏖️ Benefícios

• Highly competitive compensation, benefits and rewards programs • Inclusive culture • Professional development and valuable learning experiences • Work/life balance • Employee resource groups • Social events • Equal employment and advancement opportunities

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Desenvolvido por Lior Neu-ner. Adoraria receber seu feedback — entre em contato por DM ou pelo e-mail support@remoterocketship.com
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