Senior AI Engineer (Python) — Remote & Flexible

BairesDev; Chile; Remote; CLP 116,959,000 - 160,819,000; Full time

Benefits offered by this job

Remote work (100% from anywhere)

USD or local currency compensation

Home-office hardware setup

Flexible hours

Paid parental leaves and holidays

Global, multicultural team environment

Job summary

BairesDev is seeking an AI Engineer (Python) to design and build intelligent systems using large language models and modern Python frameworks. You will connect advanced AI research with practical applications, ensuring generative models are production-ready and scalable.

You will design AI-powered apps with Python, LLMs, and LangChain, develop RAG systems for accurate responses, and integrate AI features across microservices, collaborating with global teams.

Qualifications

• 4+ years of experience in Software Engineering or AI development.
• Proven expertise in developing AI systems using Python and Large Language Models (LLMs).
• Hands-on experience with frameworks such as LangChain to build generative applications.
• Strong background in integrating AI models and modern frameworks into production systems.
• Deep understanding of software engineering best practices applied to AI workflows.
• Advanced proficiency in English.

Responsibilities

• Design and implement AI-powered applications using Python, LLMs, and orchestration frameworks like LangChain.
• Develop and optimize retrieval-augmented generation (RAG) systems to provide context-aware and accurate AI responses.
• Integrate AI capabilities into existing software ecosystems through robust APIs and microservices.
• Collaborate with cross-functional teams to identify and execute high-impact use cases for generative AI.
• Ensure the reliability and performance of AI features through rigorous testing and production monitoring.

Skills

Python

LLMs

LangChain

Production systems

English

Job description

BairesDev is seeking an AI Engineer (Python) to design and build intelligent systems using large language models and modern Python frameworks. You will connect advanced AI research with practical applications, ensuring generative models are production-ready and scalable.

You will design AI-powered apps with Python, LLMs, and LangChain, develop RAG systems for accurate responses, and integrate AI features across microservices, collaborating with global teams.