ai engineer

EPAM provides digital platform engineering and software development services, offering enterprise software products, open source solutions, and accelerators.

• Design and implement AI workflows combining models, prompts, enterprise data, tools and business logic;
• Develop and maintain prompt engineering strategies, including versioning, testing and optimization;
• Implement orchestration layers for multi-step reasoning, decisioning and action execution;
• Integrate AI capabilities into enterprise systems, APIs and user interfaces;
• Apply guardrails to ensure safe, explainable and compliant AI behavior;
• Build and maintain production-grade AI deployment pipelines;
• Ensure reliability, scalability, latency optimization and cost efficiency of AI services;
• Implement monitoring and observability for AI systems including usage, performance, drift and failures;
• Establish change control, versioning, rollback and release management practices;
• Collaborate closely with data scientists and business experts to validate model behavior and outputs;
• Translate experimentation results into reliable production solutions;
• Communicate operational constraints and engineering considerations to stakeholders.

• 5+ Years of experience in software development;
• Strong engineering background with applied AI skills;
• Expertise in designing and implementing AI workflows combining models, prompts and enterprise data;
• Proficiency in prompt engineering strategies, including versioning, testing and optimization;
• Skills in building production-grade AI deployment pipelines, MLOps and productionization;
• Competency in monitoring and observability for AI systems, including drift, performance and failures;
• Knowledge of change control, versioning and release management practices;
• Capability to quickly ramp up on new platforms and tools;
• Familiarity with large enterprise data ecosystems;
• English proficiency at B2 level or higher.

• Remote work opportunity.