AI engineer with .NET in measurement products

EPAM; United States; Remote; USD 90,000 - 120,000; Full time

Benefits offered by this job

Remote-friendly

Learning & development programs

Employee stock purchase plan

Certifications (GCP, Azure, AWS)

Comprehensive medical & family care

Relocation assistance

Job summary

EPAM is seeking a Lead AI Engineer to own the architecture and shipping of AI-based features across measurement products. You will work on natural-language query, summarization, intelligent validation, and workflow assistance, integrating with model gateway, prompts and retrieval services.

You will lead a small team and drive RAG pipelines, evaluation strategies, and guardrails, ensuring cost, latency, and reliability are managed while advancing responsible-AI practices across platforms.

Qualifications

• 8+ years of software engineering with lead ownership of AI feature architecture across products.
• Experience shipping LLM-based features to production, including tool and function calling, structured outputs and streaming.
• Proficiency with Azure OpenAI / Azure AI Foundry, OpenAI or Anthropic APIs.
• Familiarity with embedding pipelines, evaluation frameworks, LLM observability and guardrails.

Responsibilities

• Own the architecture of AI features and ship them, including NL query, summarization, validation and workflow assistance.
• Establish reusable AI feature patterns for retrieval, evaluation and guardrails.
• Implement end-to-end RAG: chunking, embeddings, hybrid search, reranking and grounded responses with citations.
• Drive prompt and context engineering for multi-step and agentic flows.
• Define evaluation discipline with datasets, offline eval suites and regression checks.
• Lead and mentor a small engineering team on LLM integration and evaluation.
• Manage cost, latency and reliability via caching, fallbacks and token budgets.
• Integrate with platform services: model gateway, prompt registry, vector stores, embedding pipelines.
• Apply responsible-AI practices including data isolation, auditability, and human-in-the-loop patterns.

Skills

AI architecture

LLM integration

Azure OpenAI

OpenAI/Anthropic APIs

SQL fundamentals

API & microservices

Documentation

Leadership/mentoring

Education

Bachelor's degree in CS or related field

Tools

Azure DevOps

Vector stores / embeddings

Telemetry tools (Application Insights, Serilog)

Job description

Описание

We are seeking a Lead AI Engineer to drive the integration of AI-based features into measurement products. In this role, you will own the architecture of these features and ship them against an established AI/data platform, rather than building the platform itself. Your work will span natural-language query, summarization, intelligent validation and exception handling and workflow assistance, integrating with a model gateway, prompt registry, retrieval services and vector stores.

Задачи

• Own the architecture of AI features and ship them, including natural-language query, summarization, intelligent validation and exception handling, and workflow assistance
• Establish and evangelize reusable AI feature patterns for retrieval, evaluation and guardrails so teams do not reinvent them per product
• Implement RAG end to end: chunking, embeddings, hybrid search, reranking, and grounded responses with citations
• Drive prompt and context engineering, including multi-step and agentic flows where they add product value
• Define evaluation discipline, including golden datasets, offline eval suites, LLM-as-judge approaches and per-release regression checks
• Define and document complex requirements with stakeholders across product features, evaluation criteria and responsible-AI constraints
• Lead and mentor a small engineering team on LLM integration and evaluation, taking accountability for their work
• Manage cost, latency and reliability through caching, fallbacks, token budgets and graceful degradation
• Integrate with platform services such as model gateway, prompt registry, vector stores and embedding pipelines
• Apply responsible-AI practice, including tenant data isolation, auditability, OWASP LLM Top 10 mitigations and human-in-the-loop patterns
• Instrument telemetry via Application Insights and Serilog

Требования

• 8+ years of software engineering experience in .NET (C#) and/or Python, with lead-level ownership of AI feature architecture across one or more products
• Proven background in shipping LLM-based features to production, including tool and function calling, structured outputs and streaming
• Proficiency with Azure OpenAI / Azure AI Foundry, OpenAI or Anthropic APIs
• Working knowledge of the component parts of a modern AI/data platform and how to build against them: model gateway, prompt registry, vector stores
• Familiarity with embedding pipelines, evaluation frameworks, LLM observability and guardrails
• Judgment about where AI adds product value and where deterministic logic is the better tool
• Solid SQL fundamentals and API integration skills
• Strong documentation and standards habits, including architecture docs in Azure DevOps Wiki, code review and testing discipline
• Hands-on experience using AI coding agents in the SDLC such as GitHub Copilot, Claude or equivalent
• Capability to work in agentic automation pipelines, including AI-driven PR review and QA acceptance flows triggered by ADO work item tags
• English proficiency at an Upper-Intermediate level (B2) or higher

Условия

• This is a fully remote position that offers you the flexibility to work from any location in Armenia, whether it's your home or well-equipped offices in Yerevan or Gyumri.
• 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 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
• Four trust days per year for personal needs
• Discounts for fitness clubs
• Benefits package (hotels, restaurants, stores and services)