Senior Software Engineer – AI Platforms, Automation

Vaga não está no LinkedIn

🕒 Agosto 6

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $140.000 - $200.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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Intelligent Medical Objects (IMO)

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 1993

🏥 Saúde

💼 Consultoria

📦 Logística

💰 Venture Round em 2017-02

Healthcare • Consulting • Logistics

Intelligent Medical Objects (IMO) é líder na transformação de dados de saúde ao empregar IA e uma rica terminologia médica. Com mais de 30 anos no mercado, a IMO é especializada em terminologia clínica, codificação e mapeamento. Eles atendem prestadores de serviços de saúde, ciências da vida, saúde pública e trocas de informações de saúde, entre outros. Suas soluções aprimoram a gestão da qualidade dos dados, padronizam procedimentos e desbloqueiam insights a partir de dados clínicos por meio de IA. Confiados por 98% dos centros médicos acadêmicos, os produtos da IMO são fundamentais para melhorar o atendimento ao paciente, o agendamento cirúrgico, a eficiência da sala de cirurgia e a gestão precisa de dados.

Descrição

• Own and enhance internally developed applications and tooling supporting terminology management, content creation, mapping, workflow automation, and content delivery • Build and maintain integrations across internal applications, APIs, knowledge bases, databases, and AI services • Design and implement new automation and AI-enabled capabilities • Provide operational support for AI-enabled applications and workflows in production, including troubleshooting, incident response, release coordination, and maintenance • Manage deployments, infrastructure configuration, monitoring, alerting, and operational support for AWS-hosted applications and services • Investigate production issues, perform root-cause analysis, and implement durable reliability improvements • Support AI agents and workflow automation capabilities as they mature into scalable production solutions • Develop and troubleshoot AWS cloud workflows using Bedrock, Lambda, Glue, S3, IAM, CloudWatch, and MWAA/Airflow • Implement testing, monitoring, and operational-readiness practices for AI-enabled workflows • Partner with clinical, terminology, product, data science, and engineering teams • Mentor team members and promote secure, maintainable, production-ready engineering practices

🎯 Requisitos

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, Machine Learning, or a related technical field; equivalent professional experience will also be considered • 7+ years of professional experience in software engineering, backend engineering, platform engineering, DevOps, MLOps, cloud engineering, or a related discipline, including production systems support • Strong proficiency in Python and experience building maintainable production services, APIs, internal tools, jobs, or workflow automation • Experience designing, deploying, and supporting cloud-based applications in AWS • Experience building or supporting AI-enabled applications using Amazon Bedrock, LLM APIs, knowledge bases, AI agents, RAG, or similar technologies • Experience with CI/CD pipelines, Git-based development workflows, automated testing, configuration management, and release practices • Experience with Docker, Kubernetes or other containerized services, Terraform or Infrastructure-as-Code, and production monitoring/alerting tools • Experience with workflow orchestration, data pipelines, or job scheduling tools such as Airflow/MWAA, Glue, Lambda, cron-based jobs, or equivalent technologies • Working knowledge of SQL and relational databases such as PostgreSQL • Strong troubleshooting skills, including production issue triage, root-cause analysis, log analysis, and durable solutions • Ability to partner with domain experts and translate workflow needs into practical technical solutions • Strong communication, documentation, and collaboration skills • Preferred: experience scaling AI applications or agent-based workflows into production • Preferred: prompt engineering, tool/function calling, AI evaluation, and AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor • Preferred: LangChain, LangGraph, LlamaIndex, healthcare technology, clinical data, clinical terminology, regulated data environments, knowledge graphs, semantic standards, vector databases, embeddings, and search technologies • Preferred: AWS certifications

🏖️ Benefícios

• Base pay target of $140,000–$200,000 per year • Potential bonuses • Equity • Comprehensive benefits package