Senior GenAI Engineer

EPAM Systems, Inc.; México; A distancia; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

EPAM Systems, Inc. in Mexico seeks a Senior nAI Engineer to own end-to-end GenAI-powered applications, spanning backend services, LLM integration, and platform operations for production-ready solutions.

You will collaborate with AI/DS, Product, and DevOps teams to optimize latency, observability, and cost, while scaling the AI SDLC with agentic workflows on Azure in distributed systems.

Formación

• 3+ years of experience in AI engineering with backend systems.
• Strong Python backend development skills.
• Production-grade GenAI/LLM applications delivery experience with OpenAI or similar.
• Proficiency in prompt engineering and orchestration techniques.
• Experience with CI/CD, DevOps, and Azure.
• Familiarity with SQL/NoSQL, Redis, and Kafka.
• Excellent English communication.

Responsabilidades

• Craft, build, launch, and support backend services for GenAI apps.
• Link and administer LLM APIs in enterprise settings.
• Build APIs, orchestration layers, and microservices for agentic AI workflows.
• Tune LLM latency, resiliency, retries, fallbacks, and costs.
• Configure CI/CD, observability, and log pipelines for AI services.
• Collaborate with AI/DS, Product, DevOps, and platform teams.

Conocimientos

Python backend engineering

LLM integration

Distributed systems design

CI/CD & DevOps

Azure cloud platforms

English communication (B2+)

Herramientas

OpenAI APIs

Redis

Kafka

SQL/NoSQL databases

Databricks

Azure

Descripción del empleo

We are searching for a Senior nAI Engineer to become part of our team. This role puts you in charge of the entire development, deployment, and operational journey of enterprise-grade AI-powered applications. It draws together backend engineering, LLM integration, cloud infrastructure, and AI platform operations to bring scalable GenAI solutions into live production settings. You will team up with AI/DS, Product, and DevOps groups to construct and expand AI-driven applications, safeguarding reliability, observability, performance optimization, and operational excellence throughout the entire AI SDLC. This position further includes backing GenAI-assisted development approaches, aiding in the growth of the client's enterprise AI SDLC processes, participating in AI Beauty Chat initiatives via agentic micro-pod delivery models, and handling System Steward obligations across AI platform efforts.ResponsibilitiesCraft, build, launch, and support backend services that drive AI/LLM-powered applicationsAssume complete responsibility for GenAI feature delivery, starting from initial development all the way to production supportLink and administer LLM APIs, such as OpenAI, inside enterprise production settingsBuild out APIs, orchestration layers, and microservices to power agentic AI workflowsAdjust LLM systems to improve latency, resiliency, retry handling, fallback logic, and cost managementConfigure CI/CD pipelines along with observability, monitoring, and logging capabilities for AI servicesTeam up with AI/DS, Product, DevOps, and platform groups to ease delivery and reinforce reliabilityFunction within Azure cloud settings and distributed systems, spanning Redis, Kafka, and SQL/NoSQL databasesSupport MCP integrations, agentic memory efforts, and AI orchestration frameworksPromote GenAI-assisted development approaches and contribute to scaling the client's AI SDLC processesPlay a role in AI Beauty Chat delivery through agentic micro-pod execution modelsHandle System Steward obligations within agentic micro-podsRequirementsAt least 3 years of experience relevant to this rolePrimary specialization in AI Engineering with an emphasis on backend systemsStrong background in Python for backend engineeringProven experience delivering and running production-grade GenAI/LLM applications from end to endDirect, hands-on work with OpenAI or comparable LLM APIs within production contextsProficiency in prompt engineering along with various orchestration techniquesExperience tackling operational issues tied to LLMs, covering latency, retries, fallback strategies, observability, and cost efficiencyFirm grasp of distributed system design and scalable backend architectureBackground in CI/CD practices, DevOps processes, and Azure cloud platformsExperience weaving GenAI into the SDLC, including AI-assisted coding, testing, deployment, and release workflowsPractical familiarity with SQL/NoSQL databases, Redis, and KafkaStrong ability to communicate clearly and effectivelyExcellent English proficiency (B2 level or higher)Nice to haveBackground working with agentic workflow patternsPractical exposure to Databricks and MCPWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.