Summary: Join as a Senior AI Engineer to design, implement, and maintain scalable AI-powered backend applications, focusing on integrating OpenAI APIs into production systems. Highlights: 1. Design and implement scalable AI-powered backend applications 2. Collaborate with data science, DevOps, and cloud teams 3. Develop and enhance backend services for AI and LLM applications We are seeking a **Senior AI Engineer (Backend)** to join our team. As a GenAI Engineer, you will design, implement, and maintain scalable AI\-powered backend applications, focusing on seamless integration of OpenAI APIs into production systems. You will collaborate with data science, DevOps, and cloud teams to automate deployment, monitoring, and optimization of AI\-driven workflows. **Responsibilities** * Develop and enhance backend services for AI and large language model (LLM) applications * Integrate, scale, and manage LLM\-based solutions within cloud environments * Implement CI/CD pipelines to automate deployment processes * Monitor and fine\-tune AI services for optimal performance * Set up observability and logging to track LLM API performance * Collaborate with DevOps and AI/data science teams to streamline workflows and boost system reliability * Utilize cloud platforms (with a preference for Azure) to host and scale AI applications * Build APIs and microservices to enable AI\-powered features **Requirements** * Minimum 3 years of experience as a backend\-focused AI Engineer * Advanced Python backend development skills, especially with FastAPI * Experience integrating and operating LLM APIs (such as OpenAI) in production environments * Knowledge of prompt engineering and orchestration patterns for LLMs * Ability to address LLM limitations, including latency management, cost control, retries, and fallback strategies * Experience designing backend architectures for scalable, LLM\-powered APIs * Proficiency with SQL and NoSQL databases, as well as technologies like Redis and Kafka * Hands\-on experience with Databricks for data processing and analytics * Familiarity with Model Context Protocol (MCP) for model integration and management * Fluent English skills (written and spoken) at a B2\+ level or higher **Nice to have** * Experience with agentic workflows for advanced AI automation and orchestration * Understanding of Model Context Protocol for enhanced model interoperability **We offer** * Career plan and real growth opportunities * Unlimited access to LinkedIn learning solutions * Constant training, mentoring, online corporate courses, eLearning and more * English classes with a certified teacher * Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more) * Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more) * Flexible work schedule and dress code * Collaborate in a multicultural environment and share best practices from around the globe * Hired directly by EPAM \& 100% under payroll * Law benefits (IMSS, INFONAVIT, 25% vacation bonus) * Major medical expenses insurance: Life, Major medical expenses with dental \& visual coverage (for the employee and direct family members) * 13 % employee savings fund, capped to the law limit * Grocery coupons * 30 days December bonus * Employee Stock Purchase Plan * 12 vacations days * Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th \& 31st) * Monthly non\-taxable amount for the electricity and internet bills 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. *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.*