We are looking for an AI Engineer (Backend) to join our organization. In this role, you will be responsible for building, deploying, and supporting robust AI-driven backend systems, with a strong emphasis on integrating OpenAI APIs into live environments. You will work alongside data science, DevOps, and cloud specialists to automate deployment, monitor system health, and optimize AI-powered processes.
Responsibilities
- Design and improve backend infrastructure for AI and LLM-based applications
- Deploy, scale, and oversee LLM-powered solutions in cloud platforms
- Create and maintain CI/CD pipelines to streamline deployment activities
- Oversee the performance and reliability of AI services, making necessary adjustments
- Establish observability and logging frameworks to monitor LLM API usage and performance
- Work in partnership with DevOps and data science teams to enhance workflow efficiency and system dependability
- Leverage cloud services, with a focus on Azure, for hosting and expanding AI solutions
- Develop APIs and microservices to deliver AI functionalities
Requirements
- At least 2 years of experience as a backend AI Engineer
- Strong proficiency in Python backend development, particularly using FastAPI
- Background in integrating and managing LLM APIs (such as OpenAI) in production settings
- Understanding of prompt engineering and orchestration strategies for LLMs
- Skills in mitigating LLM challenges, such as latency, cost efficiency, retries, and fallback mechanisms
- Experience architecting scalable backend systems for LLM-based APIs
- Working knowledge of SQL and NoSQL databases, including Redis and Kafka
- Practical experience with Databricks for data engineering and analytics
- Acquainted with Model Context Protocol (MCP) for model management and integration
- English language proficiency at B2+ level or higher, both written and spoken
Nice to have
- Exposure to agentic workflows for advanced AI process automation
- Knowledge of Model Context Protocol to support model interoperability
We offer
- Connectivity Bonus (25,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept).
- Medicina Prepaga (It covers the collaborator and direct family group).
- Paternity Leave (Two additional days are added to what is established by law, total of 4 days).
- Discounts card.
- English Training (English lessons, twice per week).
- Training Program (Access to multiple customized training plans according to the needs of each role within the company).
- Marriage bonus (The company doubles the allowance established by law that ANSES offers).
- Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company).
- External Agreements and Discounts.
- Vacations: 14 calendar days a year
By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
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- Posted
- Feb 17, 2026
- Type
- Full-time
- Level
- Associate
- Location
- Argentina
- Company
- EPAM Systems
Industries
Categories
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