3 publicaciones de empleo destacadas de engineer with python en remote (¡Están contratando!)

AI Engineer
AquSag Technologies —Desde casa
- Por contrato
Postulación rápida
7h
Senior AI Engineer
EPAM Systems, Inc. —Desde casa
1d
Senior Python/ReactJS Full Stack Engineer
EPAM Systems, Inc. —Desde casa
8h

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Senior Data & AI Engineer SR (Python, AWS Bedrock, RAG)
EPAM Systems, Inc. —Desde casa
Buscamos profesionales con sólida experiencia en ingeniería de datos, arquitecturas cloud sobre AWS e implementación de soluciones de Inteligencia Artificial…
8h

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AI Engineer

AquSag Technologies -
Desde casa

Postulación rápida

Detalles del empleo

Por contrato
Hace 7 horas

Descripción completa del empleo

Experience: 3+ years
Job Type: Full-time (Contractual / Freelancing)
Location: Remote
Required Skills: Python3, JAVA, Rust, Algorithms, Basic C++, TypeScript, bug fixing, feature implementation, codebase refactoring, performance optimization

Job Summary:

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required, your domain knowledge is what matters.

As an expert you will be creating Reinforcement Learning Environments which test an AI model’s ability to solve complex software engineering problems using Model Context Protocol (MCP) tools. Tasks may involve fixing bugs, implementing features, refactoring code, or optimizing performance while requiring agents to discover and reason over information from real MCP servers. You will design reproducible environments, deterministic verification, and golden reference solutions that accurately measure both MCP tool use and software engineering ability.

Required Skills and Qualifications:

Proficiency in C++, Python, JAVA, GoLang, Typescript, or Rust.
Deep understanding of algorithms, data structures, and performance tuning.
Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
Strong background in feature development and codebase refactoring.
Proven ability to optimize software for performance and scalability.
Exceptional written and verbal communication skills, with a keen attention to detail.
Track record of success in collaborative, cross-functional teams, ideally in remote settings.

Preferred Qualifications:

Previous experience working on large-scale, distributed codebases.
Familiarity with modern AI or machine learning systems is a plus, though not required.
Background in participating in rigorous code reviews and contributing to the development of software best practices.

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