AI engineer

Intellias; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Intellias is seeking a hands-on Senior AI Engineer to drive the design and delivery of enterprise AI agents and MCP-based integrations. You will own solution design, guide the engineering team, and work on MCP services for local applications as well as global platform capabilities.

You will build and integrate AI agents, define workflows, and establish standards for secure, scalable MCP and agent development while collaborating with global teams to ensure interoperability and governance across

Qualifications

• Hands-on Python engineering experience.
• Experience building LLM-based applications, AI agents or agentic workflows.
• Strong knowledge of REST APIs and enterprise integrations.
• Strong Microsoft Azure experience.
• Experience with OAuth 2.0 and Microsoft Entra ID.
• Understanding of tool/function calling and agent-to-system integration patterns.
• SQL, JSON, Git and CI/CD.
• Ability to design production-grade solutions and provide technical leadership.
• Strong English communication skills.

Responsibilities

• Lead technical discovery and translate business use cases into AI/agentic solution designs.
• Design architecture of AI agents and their interaction with local and global MCP services.
• Design and develop MCP services exposing capabilities of local applications to AI agents.
• Build enterprise AI agents and agentic workflows.
• Integrate agents with multiple MCP servers, APIs and enterprise systems.
• Define agent instructions, reasoning flows, tool-selection logic, approval workflows and human-in-the-loop guardrails.
• Define reusable patterns and engineering standards for MCP and agent development.
• Lead and support other AI engineers during implementation.
• Ensure compliance with enterprise security, architecture and AI governance requirements.
• Define and monitor agent quality and performance metrics, including task completion, tool failures, hallucinations, latency and cost.
• Collaborate with global AI/platform teams to ensure interoperability between local and global MCP capabilities.

Skills

Python

LLM-based apps

AI agents

REST APIs

Azure

OAuth 2.0 / Entra ID

CI/CD

SQL / JSON

Git

English communication

Tools

Azure Functions

API Management

Logic Apps

LangGraph / Semantic Kernel

Job description

Описание:

Intellias helps retailers deliver consistent, omnichannel experiences through technology. Join us to develop scalable solutions that drive performance and customer value

What project we have for you

We are looking for a hands‑on Senior AI Engineer to lead the technical design and delivery of enterprise AI agents and MCP‑based integrations. The team will develop Model Context Protocol (MCP) services for local business applications and build AI agents that consume both these local MCPs and MCP services provided by a global platform team. The Senior AI Engineer will own solution design, support use‑case discovery, provide technical leadership to the engineering team, and participate directly in implementation.

Задачи:

• Lead technical discovery and translate business use cases into AI/agentic solution designs.
• Design the architecture of AI agents and their interaction with local and global MCP services.
• Design and develop MCP services exposing capabilities of local applications to AI agents.
• Build enterprise AI agents and agentic workflows.
• Integrate agents with multiple MCP servers, APIs and enterprise systems.
• Define agent instructions, reasoning flows, tool‑selection logic, approval workflows and human‑in‑the‑loop guardrails.
• Define reusable patterns and engineering standards for MCP and agent development.
• Lead and support other AI engineers during implementation.
• Ensure compliance with enterprise security, architecture and AI governance requirements.
• Define and monitor agent quality and performance metrics, including task completion, tool failures, hallucinations, latency and cost.
• Collaborate with global AI/platform teams to ensure interoperability between local and global MCP capabilities.

Требования:

• Strong hands‑on Python engineering experience.
• Experience building LLM‑based applications, AI agents or agentic workflows.
• Strong knowledge of REST APIs and enterprise integrations.
• Strong Microsoft Azure experience.
• Experience with authentication/authorization such as OAuth 2.0 and Microsoft Entra ID.
• Understanding of tool/function calling and agent‑to‑system integration patterns.
• SQL, JSON, Git and CI/CD.
• Ability to design production‑grade solutions and provide technical leadership.
• Strong English communication skills.

Будет плюсом:

• Hands‑on Model Context Protocol (MCP) experience.
• Azure AI Foundry / Azure OpenAI.
• Copilot Studio.
• Power Automate.
• Agent orchestration frameworks such as Semantic Kernel, LangGraph or similar.
• Azure Functions / API Management / Logic Apps.
• Experience with enterprise AI governance, evaluation and observability

Условия:

By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well‑being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer.