Senior AI Agent Engineer

Luxoft; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Luxoft is seeking a senior software engineer to design, develop, test, and deploy enterprise AI agents and copilots. You will build agents using Azure AI Foundry or Copilot Studio, develop prompts and workflows, and optimize evaluation pipelines.

You will integrate agents with enterprise tools, implement grounding, guardrails, and human-review patterns, and help scale reliable, cost-efficient AI solutions across business units. Strong Python, REST API, and cloud experience are essential.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, AI, or a related field.
• 5+ years of software development experience.
• 2+ years developing generative AI, AI assistant, or agent-based applications.
• Strong Python skills and experience integrating REST APIs and cloud services.
• Experience deploying secure, testable enterprise applications.
• Experience with Azure AI Foundry and Copilot Studio.
• Experience with Semantic Kernel, MCP, multi-agent systems, or comparable orchestration frameworks.
• Experience implementing RAG, evaluation pipelines, citations, and tool-use controls.

Responsibilities

• Build agents using Azure AI Foundry, Copilot Studio, or other approved frameworks, including Python-based frameworks where appropriate.
• Build or coordinate rapid prototypes and validate them with business users.
• Develop prompts, instructions, tool definitions, routing, and orchestration workflows.
• Implement grounding, citation, retrieval, context management, guardrails, and human-review patterns.
• Integrate agents with enterprise tools and APIs.
• Create automated evaluations and optimize answer quality, latency, reliability, observability, and cost.
• Support production troubleshooting, monitoring, feedback loops, and continuous agent improvement.

Skills

Python

REST APIs

Cloud services

Azure AI Foundry

Copilot Studio

Semantic Kernel

multi-agent systems

RAG

evaluation pipelines

citations

tool-use controls

Education

Bachelor's degree in Computer Science

Tools

Azure AI Foundry

Copilot Studio

Semantic Kernel

MCP

Job description

Project description

Design, develop, test, and deploy enterprise AI agents, copilots, and multi-agent systems.

Responsibilities

• Build agents using Azure AI Foundry, Copilot Studio, or other approved frameworks, including Python-based frameworks where appropriate.Build or coordinate rapid prototypes and validate them with business users.Develop prompts, instructions, tool definitions, routing, and orchestration workflows.Implement grounding, citation, retrieval, context management, guardrails, and human-review patterns.Integrate agents with enterprise tools and APIs.Create automated evaluations and optimize answer quality, latency, reliability, observability, and cost.Support production troubleshooting, monitoring, feedback loops, and continuous agent improvement.

SKILLS

Must have

• Bachelor's degree in Computer Science, Software Engineering, AI, or a related field.5+ years of software development experience.2+ years developing generative AI, AI assistant, or agent-based applications.Strong Python skills and experience integrating REST APIs and cloud services.Experience deploying secure, testable enterprise applications.Experience with Azure AI Foundry and Copilot Studio.Experience with Semantic Kernel, MCP, multi-agent systems, or comparable orchestration frameworks.Experience implementing RAG, evaluation pipelines, citations, and tool-use controls.

Nice to have

Azure AI Engineer or related certification