AI Enablement Engineer: Automation & AI Agents

Socket.dev; McLean (VA); On-site; USD 154,347 - 170,709; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k) with company match

Unlimited PTO

Job summary

ID.me seeks an AI Enablement Engineer to join the Corporate AI Enablement & Efficiency team. You will design automations, integrate systems via APIs, and deploy AI agents that scale across the organization, with governance and security in mind.

You will build production-grade MCP servers and AI skills, focusing on safe access to internal data, observability, and robust error handling. Lead architecture patterns for automation and mentor teammates.

Qualifications

• Design, build, and maintain end-to-end automations and integrations.
• Integrate systems through APIs and webhooks with proper authentication and retries.
• Develop AI-powered capabilities using LLMs, including prompting and tool-calling.

Responsibilities

• Design, build, and maintain end-to-end automations and integrations, connecting the company's applications, data, and AI services.
• Integrate systems through APIs and webhooks - handling authentication, rate limits, retries, and idempotency.
• Build AI-powered capabilities using large language models: structured outputs, retrieval-augmented generation (RAG), and tool / function-calling that automate real business processes.
• Develop and maintain MCP servers and reusable AI skills and agents that give teams safe, governed access to internal systems and data.

Skills

Integrations

Workflow automation

API fluency

Python/Go/JS/TS

AI/mL models

Observability/SRE mindset

Business process translation

Security/Data collaboration

Tools

REST/JSON

OAuth

Webhooks

MCP servers

Job description

ID.me seeks an AI Enablement Engineer to join the Corporate AI Enablement & Efficiency team. You will design automations, integrate systems via APIs, and deploy AI agents that scale across the organization, with governance and security in mind.

You will build production-grade MCP servers and AI skills, focusing on safe access to internal data, observability, and robust error handling. Lead architecture patterns for automation and mentor teammates.