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Senior IA Engineer

9 hours, 10 minutes ago
Argentina, Brazil, Uruguay
Contract
Senior
AI Engineer
Software Development
AWS CI/CD Datadog Docker Generative AI Kubernetes Microservices Python REST API Terraform
Apply Now
Coderio

Coderio

Coderio specializes in providing on-demand, enterprise-level software development talent, enabling businesses to quickly assemble and scale their tech teams with experienced developers aligned to their time zones.

Internet Software & Services
51-250
Founded 2018
View All Jobs 14

Description

  • Design, implement, and operate reusable production-grade AI capabilities and services.
  • Build and evolve LLM gateways, proxies, model-routing systems, prompt strategies, and agentic workflows.
  • Design evaluation frameworks, guardrails, and observability pipelines for AI systems.
  • Define organizational standards for AI testing, versioning, context segregation, and incident response.
  • Own delivery from problem framing and architecture through implementation, deployment, monitoring, and iteration.
  • Develop internal tools, scripts, and intelligent workflows that improve developer productivity.
  • Benchmark and deploy production AI capabilities across internal platforms and software ecosystems.

Requirements

  • 5+ years of senior-level experience delivering and operating production systems in Software, AI, or ML Engineering.
  • Advanced proficiency in Python, RESTful and asynchronous APIs, microservices, and AWS or GCP cloud services.
  • Experience building reliable LLM applications, RAG pipelines, and agent orchestration with tools such as LangGraph, CrewAI, or MCP.
  • Hands-on experience with LLM gateways or proxies, model routing, evaluation harnesses, and observability tools such as LangSmith, Datadog, or Logfire.
  • Ability to make architectural trade-offs across quality, latency, reliability, security, privacy, scalability, and cost.
  • Advanced English proficiency and strong communication skills for cross-functional collaboration.
  • Experience with Docker, Kubernetes, and Terraform in cloud environments (preferred).
  • Experience with Internal Developer Platforms or developer tooling (preferred).
  • Background in prompt optimization, open-source model fine-tuning, or custom vector database indexing (preferred).

Benefits

  • 100% remote, long-term engagement.
  • Competitive compensation and growth opportunities.
  • High-autonomy environment for researching, prototyping, and implementing GenAI workflows.
  • Collaborative international environment with senior technical leadership.
  • Opportunity to drive shared AI foundations and internal developer adoption.

Interested in this position?

Apply directly on the company website

Apply Now

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