Remote Agentic AI Engineer: Python & LLMs

Proxify

Quilmes

Remote

ARS 181,747,000 - 272,620,000

Full time

7 days ago
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Benefits offered by this job

Professional growth
USD-based pay
Flexible schedule (remote/office)
Exciting projects with Fortune 500

Job summary

Pearster is seeking a Senior Agentic AI Engineer to build secure enterprise applications and agentic workflows that connect AI agents to enterprise data and tools. This is a 100% remote role designed for independent, hands-on engineers who ship production-grade AI solutions.

You will architect AI-powered applications using Python, TypeScript, and API services, integrate with OpenAI, Anthropic, Google Gemini, AWS or Azure, and implement structured outputs and governance.

Qualifications

  • Bachelor's degree in CS/Software Engineering or related STEM field.

Responsibilities

  • Architect and develop secure enterprise applications (React, TypeScript, Python, API services).
  • Build agentic workflows and MCP-based integrations connecting AI applications to enterprise data/tools.
  • Implement structured outputs, workflow state management, human-approval steps, and error recovery.
  • Build authentication, authorization, RBAC, and audit logging.
  • Implement AI evaluation, guardrails, tracing, and monitoring (quality/safety/cost).
  • Partner with domain experts and PMs to translate requirements into scalable solutions.
  • Own production-quality code, tests, and documentation.
  • Mentor other engineers; guide technical direction across teams.

Skills

Python
TypeScript
APIs
AI/ML
RBAC
CI/CD
LangChain
Hugging Face
OpenAI
English communication

Education

Bachelor's in CS/Software Engineering

Tools

OpenAI
Anthropic
Google Gemini
AWS
Azure
LangChain
LlamaIndex
Hugging Face

Job description

Pearster is seeking a Senior Agentic AI Engineer to build secure enterprise applications and agentic workflows that connect AI agents to enterprise data and tools. This is a 100% remote role designed for independent, hands-on engineers who ship production-grade AI solutions.

You will architect AI-powered applications using Python, TypeScript, and API services, integrate with OpenAI, Anthropic, Google Gemini, AWS or Azure, and implement structured outputs and governance.

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