AI Engineering & 7 others
EPAM Systems
Software Engineering, Data Science
Argentina · Amp. Gabriel Hernández, Ciudad de México, CDMX, Mexico · Remote
Posted on Nov 19, 2025
Responsibilities
- Develop and optimize backend services for AI and LLM applications
- Integrate, scale, and manage LLM-based applications in cloud environments
- Implement CI/CD pipelines to automate deployment processes
- Monitor and optimize performance of AI services
- Ensure observability and logging for LLM API performance tracking
- Collaborate with DevOps and AI/DS teams to streamline workflows
- Work with cloud platforms, preferably Azure, to host and scale AI applications
- Develop APIs and microservices supporting AI-powered features
Requirements
- Minimum 2 years of experience in Machine Learning Engineering with a backend software focus
- Strong experience with OpenAI APIs and AI service integration
- Expertise in MLOps and CI/CD tools, including Orion, ArgoCD, and Opsera
- Proficiency in monitoring and observability tools such as Grafana, Dynatrace, and ThoughtSpot
- Experience with cloud and infrastructure technologies, especially Azure, Apache Spark, and Databricks
- Strong Python programming skills and familiarity with microservices architecture
- Excellent English communication skills at B2 level or higher
We offer/Benefits
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn