Staff Software Engineer – GenAI, Agentic Workflows

🕒 Fevereiro 25

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

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Machinify

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

⚕️ Seguro de Saúde

🤖 Inteligência Artificial

☁️ SaaS

💰 $10.000.000 Series A - Machinify em 2018-10

Healthcare Insurance • Artificial Intelligence • SaaS

A Machinify é uma empresa de plataforma e serviços de IA focada em saúde que transforma pagamentos e a integridade de pagamentos no setor. Seu sistema operacional de IA unifica reivindicações, prontuários médicos, contratos e políticas, utilizando modelos fundamentais e agentes específicos de tarefas para automatizar e aprimorar a codificação, precisão de pagamentos, recuperações e prevenção de custos. A Machinify atende planos de saúde (incluindo 18 dos 20 maiores), oferece implantações internalizadas, híbridas ou totalmente gerenciadas e enfatiza resultados mensuráveis — relatando mais de 85 clientes, 270 milhões de vidas cobertas e mais de 6 bilhões de dólares em prevenção de custos e recuperações anuais.

Descrição

• Lead development of document processing pipelines capable of annually handling hundreds of millions of documents, including medical records, claims, and benefits data. • Design and implement agentic workflows that review and validate millions of healthcare claims per year, ensuring accuracy and payment integrity. • Evolve our agentic ecosystem by driving innovation in prompt development lifecycle, optimal utilization of various flavors of multi-modal (text + vision) LLMs, context extraction, RAG, workflow orchestration frameworks, observability and logging, and explainability of LLM outputs. • Collaborate across teams (Data Science, Data Engineering, and Product) to deliver robust, end-to-end AI-powered systems that automate complex workflows. • Address critical infrastructure needs by tracking and reducing tech debt while strengthening system reliability and scalability. • Mentor and guide engineers on best practices in designing production-grade AI systems, helping set technical direction for the team.

🎯 Requisitos

• 6+ years of software engineering experience, including at least 2 years building agentic systems or AI-driven workflows in an enterprise setting. • Strong programming expertise in Java and Python, with additional experience in Scala a significant plus. • Experience designing and scaling large-scale, distributed systems and pipelines, ideally processing unstructured data such as documents or healthcare records. • Proven ability to productionize AI/ML techniques (e.g., LLM prompt engineering, RAG, workflow automation, and agents) with a focus on reliability, observability, and explainability. • Knowledge of monitoring and observability tools (Prometheus, Grafana or similar) and passion for tracking metrics. • Strong CS fundamentals, including data structures, asynchronous programming, and system design. • Demonstrated success in reducing manual processes through automation, ideally in healthcare, fintech, or other regulated domains. • Collaborative mindset with experience working closely with data scientists and cross-functional teams to translate requirements into technical designs and production systems. • A passion for pushing the boundaries of AI to deliver better-than-human-level accuracy and efficiency at scale. • Bachelor’s or Master’s degree in Computer Science or a related field (or equivalent practical experience). • Track record of building and shipping enterprise-grade AI/ML systems in production. • Strong testing and code quality discipline, with experience contributing to and improving enterprise-grade systems. • Experience with big-data tools and distributed systems frameworks (e.g., Spark, Flink, Kafka, Airflow, Ray) is a strong plus.

🏖️ Benefícios

• Work from anywhere in the US! Machinify is digital-first. • Top Medical/Dental/Vision offerings • FSA/HSA • Tuition reimbursement • Competitive salary, 401(k) with company match • Unlimited PTO • Additional health and wellness benefits and perks • Flexible and trusting environment where you’ll feel empowered to do your best work