AI / LLM Integration Engineer

🕒 Maio 12

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Codvo.ai

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2019

🤖 Inteligência Artificial

🔒 Cibersegurança

☁️ SaaS

Artificial Intelligence • Cybersecurity • SaaS

A Codvo. ai é uma empresa de tecnologia especializada em entregar soluções estratégicas para empresas por meio de inovação avançada impulsionada por AI. A companhia foca em transformar dados corporativos em valor mensurável, ajudando negócios a acelerar o crescimento com implementações de AI personalizadas, adequadas aos desafios específicos de diversos setores. Seu amplo portfólio de serviços inclui automação com AI/ML, desenvolvimento de aplicações, análise de dados, cibersegurança e transformação digital, garantindo que as organizações prosperem em um cenário digital em rápida evolução.

Descrição

• Design and optimize prompts that accurately interpret flagged reconciliation exceptions and generate structured, actionable resolution suggestions with confidence scoring • Integrate LLM APIs (Anthropic Claude, OpenAI) into the exception resolution layer using Python, the Anthropic SDK, and async API patterns for production-grade reliability • Develop human-in-the-loop workflows that balance automation with human oversight, ensuring financial accuracy and auditability at every step • Build robust API integration code that handles edge cases, rate limiting, token management, and graceful error recovery in a financial context • Collaborate with backend developers to embed AI outputs cleanly into the reconciliation pipeline and ensure seamless data flow into final reports • Implement LLM evaluation and benchmarking frameworks to measure prompt effectiveness, accuracy, and consistency across diverse exception types • Document prompt strategies and model behavior to enable knowledge sharing and continuous improvement across the engineering team • Monitor and iterate on model performance, refining prompts and integration logic based on real-world exception data and user feedback

🎯 Requisitos

• 3+ years of professional software engineering experience, with at least 2+ years working directly with LLM APIs (Anthropic, OpenAI, or similar) • Strong proficiency in Python, including hands-on experience with the Anthropic SDK and async API calls • Demonstrated expertise in prompt engineering, particularly for structured outputs and domain-specific tasks • Solid understanding of confidence scoring, uncertainty quantification, and human-in-the-loop AI workflows • Experience writing clean, maintainable API integration code with attention to edge cases and error handling • Ability to work independently and communicate effectively with cross-functional teams • Familiarity with financial systems, reconciliation processes, or similar regulated domains is a plus

🏖️ Benefícios

• Flexible work environment: 100% remote with a collaborative, inclusive team culture • Meaningful impact: Work on cutting-edge AI solutions that directly improve financial operations for our clients • Professional growth: Opportunities to deepen expertise in LLMs, agentic AI, and financial technology • Competitive compensation: Commensurate with experience and market rates • Collaborative culture: Work alongside talented engineers and product teams who value innovation and continuous learning