Summary
✨ AI‑Generated
A senior AI engineering role focused on taking validated prototypes into production-grade systems. You will build agentic AI solutions on a major cloud platform, design RAG pipelines and tool integrations, create evaluation and regression frameworks, and engineer for security, cost, reliability, and scale. The role suits an engineer who values measurable quality and disciplined production engineering.
Highlights
Turn validated AI prototypes into reliable production systems with strong emphasis on evaluation, security, cost, and scale. The role offers hands-on work with agentic AI, RAG, vector databases, knowledge graphs, tool integration, automated evaluation, and modern cloud AI services.
Description
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.
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 weeksBuild agentic systems properly, choosing orchestration frameworks, RAG pipelines, vector DBs, knowledge graphs and MCP-based tool integration by need and engineer them for changeBuild the eval harness first: golden sets, regression evals and guardrail tests wired into CI, with quality measured on every changeEngineer the guardrails, including input/output filtering, grounding and citation, PII protection, rate limits and human escalation pathsDeliver full stack services in Python and/or Java Spring Boot along with TypeScript/Angular front endsRun 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 designBuild security and compliance in, respecting data classification boundaries in prompts, stores and logs, externalizing secrets and making every AI decision auditableIterate 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 scaleProficiency in Python, Java Spring Boot and/or TypeScript/AngularExpertise in Azure PaaS and Azure AI servicesSkills in agentic frameworks, vector DBs, knowledge graphs and MCPCompetency in prompt and context engineeringBackground in CI/CD and observability, having operated what you builtFamiliarity with daily AI-assisted engineering, coding with AI agents and demonstrating the workflow liveEnglish proficiency at B2 level or higher
We offer
We connect like-minded people:Delivering innovative solutions to industry leaders, making a global impactEnjoyable working environment, whether it is the vibrant office or the comfort of your own homeOpportunity to work abroad for up to two months per yearRelocation opportunities within our offices in 55+ countriesCorporate and social eventsWe invest in your growth:Leadership development, career advising, soft skills and well-being programsCertifications, including GCP, Azure and AWSUnlimited access to EPAM's internal learning databaseFree English classes with certified teachersWe cover it all:Monetary bonuses for engaging in the referral programMedical & family care packageSix trust days per year (sick leave without a medical certificate)Coverage of psychology sessions of your choiceDiscounts for fitness clubs and sports programsBenefits 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.
Experience the freedom of remote work from anywhere in Kyrgyzstan, whether it's the comfort of your home or our modern office in Bishkek.