Senior AI Engineer with Microsoft Azure

We are looking for a Senior AI Engineer with Microsoft Azure expertise to take validated prototypes and make them survive production: evals, guardrails, security, cost and scale. You will build agentic systems on the Azure stack and code AI-first every day, with the commits to prove it. We value an 80% mindset and 20% skills approach — frameworks change quarterly, and we don't hire for one. What we can't teach is evaluation-driven engineering discipline and the honesty to say what a demo hides.

Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi.

Responsibilities

• Industrialize prototypes into production services on Azure — Azure AI Foundry / Azure OpenAI — from build-ready pack to a system real users depend on in weeks
• Build agentic systems properly, choosing orchestration frameworks, RAG pipelines, vector DBs, knowledge graphs and MCP-based tool integration by need and engineer them for change
• Build the eval harness first: golden sets, regression evals and guardrail tests wired into CI, with quality measured on every change
• Engineer the guardrails, including input/output filtering, grounding and citation, PII protection, rate limits and human escalation paths
• Deliver full stack services in Python and/or Java Spring Boot along with TypeScript/Angular front ends
• Run production engineering end-to-end, covering CI/CD, observability with traces on every LLM call, cost and latency management and model-version churn absorbed by design
• Build security and compliance in, respecting data classification boundaries in prompts, stores and logs, externalizing secrets and making every AI decision auditable
• Iterate from real usage through hypercare, tuning and fixes based on evidence, and package patterns that worked for the next pod

Requirements

• 3+ years of experience shipping LLM/agentic systems in production with real users, with a defined eval approach and scale
• Proficiency in Python, Java Spring Boot and/or TypeScript/Angular
• Expertise in Azure PaaS and Azure AI services
• Skills in agentic frameworks, vector DBs, knowledge graphs and MCP
• Competency in prompt and context engineering
• Background in CI/CD and observability, having operated what you built
• Familiarity with daily AI-assisted engineering, coding with AI agents and demonstrating the workflow live
• English proficiency at B2 level or higher

We offer

• We connect like-minded people
• Delivering innovative solutions to industry leaders, making a global impact
• Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
• Opportunity to work abroad for up to two months per year
• Relocation opportunities within our offices in 55+ countries
• Corporate and social events
• We invest in your growth
• Leadership development, career advising, soft skills and well-being programs
• Certifications, including GCP, Azure and AWS
• Unlimited access to EPAM's internal learning database
• Free English classes with certified teachers
• We cover it all
• Participation in the Employee Stock Purchase Plan
• Monetary bonuses for engaging in the referral program
• Comprehensive medical & family care package
• Five trust days per year (sick leave without a medical certificate)
• Benefits package (sports activities, a variety of stores and services)
  

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.