Senior AI Engineer

New
C
CI&TAI software
BrazilFull-TimeSenior
Salary not disclosed
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Job Details

Languages
Fluent English (B2+ or higher), written and spoken
Required Skills
PythonReactCI/CDMicroservices

Requirements

  • Senior-level AI Engineer with a solid track record delivering AI-powered applications to production.
  • Strong backend experience in Python, including APIs, services, and data processing.
  • Strong frontend experience in React.
  • Hands-on experience building LLM applications, including prompt and context engineering, RAG, tool orchestration, and multi-agent designs.
  • Experience with vector databases and context data pipelines.
  • Experience evaluating probabilistic behavior with evals and tests, and awareness of AI red teaming practices.
  • Experience using AI coding agents and building agents, skills, or commands to accelerate delivery.
  • Solid software architecture and engineering fundamentals, including microservices, event-driven systems, CI/CD, TDD, and observability.
  • Experience with code or document analysis, parsing, or text extraction use cases.
  • Ability to act as a technical reference, review code, and mentor other engineers.
  • Fluent English (B2+ or higher), written and spoken.

Responsibilities

  • Own the solution end to end, from architecture to tested code running in production.
  • Architect and build the agentic solution using LLM integrations, RAG, tool orchestration, runtime frameworks, system prompts, and guardrails.
  • Build and manage context data pipelines using internal sources and vector databases.
  • Develop backend services and APIs in Python and the user-facing application in React.
  • Build and reuse agents, skills, subagents, commands, and harnesses to accelerate development.
  • Validate the solution with evals, automated tests, and red teaming for hallucinations, prompt injection, and data leaks.
  • Review AI-generated code and outputs against technical, quality, and business requirements.
  • Instrument application and agent code to monitor behavior, quality, and cost.
  • Lead complex technical design, review code, and mentor peers while coordinating production delivery and knowledge transfer.
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