AI Specialist

Há 3 dias

Manaus, Amazonas, Brasil beBeeDeveloper Tempo inteiro US$120.000 - US$200.000
Job Title: Artificial Intelligence Developer

This is a remote, full-time position as an Artificial Intelligence Developer.

About the Role:

The ideal candidate will be responsible for integrating cutting-edge AI models into real-world client workflows and platforms. Key responsibilities include designing and implementing integrations between AI agents, APIs, and client systems; configuring and fine-tuning AI agents and workflows using tools like n8n, Airflow, Zapier, Make, and custom pipelines; assessing client infrastructure to identify high-impact AI opportunities and co-create implementation roadmaps with solution architects; troubleshooting integration challenges and optimizing latency and reliability; ensuring data integrity, compliance, and security across all AI deployments with appropriate governance and monitoring; and collaborating with developers, consultants, and analysts to document solutions and enable client teams to operate and scale AI systems.

Required Skills and Qualifications:
  • Proven experience integrating AI models into production environments;
  • Strong understanding of APIs, webhooks, and system-to-system integrations;
  • Proficiency in at least one programming language (Python or JavaScript);
  • Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes);
  • Hands-on experience with workflow orchestration tools (n8n, Airflow, Zapier, Make);
  • Strong problem-solving skills and the ability to adapt solutions to diverse client systems;
  • Familiarity with integrating enterprise platforms (CRM/ERP/HRIS) and implementing monitoring/observability for AI services;
  • Experience working with AI LLMs and related tooling; willingness to learn Airia (training provided);
  • Advanced fluency in English (written and verbal).
Nice to Have Skills:
  • Experience with RAG pipelines, vector databases (e.g., Pinecone, FAISS), and prompt engineering;
  • Knowledge of frameworks like LangChain or LlamaIndex;
  • CI/CD for ML/AI services, Infrastructure as Code (e.g., Terraform), and MLOps best practices;
  • Security and compliance exposure (e.g., SOC 2, HIPAA, GDPR) for data-handling workflows;
  • Client-facing consulting experience and solution architecture exposure;
  • Monitoring/alerting with tools like Prometheus, Grafana, OpenTelemetry, or Datadog.

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