Python Engineer (with IA)

Lima

Job Summary

We are looking for a Backend Python Engineer with strong AI experience to help design and build scalable intelligent systems. This role is ideal for someone who has worked with agent orchestration in production, retrieval systems using Postgres and pgvector, and who can bring a strong problem-solving mindset to complex technical challenges. Experience with CAD or geometric programming is a strong plus.

Responsibilities

Design, build, and maintain backend services in Python for AI-powered products.
Develop and deploy production-grade agent workflows using LangGraph or similar orchestration frameworks.
Build retrieval-augmented systems using Postgres and pgvector to support scalable search and knowledge access.
Collaborate with product, AI, and engineering teams to turn technical requirements into reliable solutions.
Optimize system performance, reliability, and maintainability across backend and AI components.
Implement robust APIs, data models, and integration points for internal and external systems.
Troubleshoot production issues and continuously improve system architecture.
Contribute to technical decisions around AI infrastructure, retrieval strategies, and backend design.
Apply CAD or geometric programming knowledge where relevant to domain-specific product needs.

Required Qualifications

Strong experience as a Backend Python Engineer with a proven track record of building AI-enabled systems in production.
Hands-on experience with LangGraph or similar agent orchestration tools for complex workflow automation.
Solid expertise in Postgres and pgvector, specifically optimized for high-performance retrieval at scale.
Strong software engineering fundamentals, including API design, debugging, testing, and performance optimization.
CAD or geometric programming experience is a strong plus.
High autonomy and the ability to collaborate effectively in fast-moving, agile environments.

Preferred Qualifications

Experience with CAD, computational geometry, or geometric programming.
Familiarity with vector search, retrieval-augmented generation, and LLM-based workflows.
Experience designing scalable backend systems for AI products.
Exposure to cloud environments, containerization, and modern deployment practices.

What Success Looks Like