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Vigy AI Inc.

Software Engineer - AI Agents Engineering Remote (US)

northern, KY

Check who can apply and the requirements below before continuing.

About this opportunity

Vigy AI Inc. lists this Software Engineer - AI Agents Engineering Remote (US) opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.

Job description

We're hiring a Software Engineer - AI Agents to help build the core systems that power Vigy's AI employees: LLM-driven agents that take real actions across email, calendars, CRMs, and dozens of other tools. You'll work across our Rails backend, real-time voice/video pipeline (LiveKit + OpenAI Realtime), and the integrations layer that lets our agents act on a customer's behalf. This role is for someone who wants to ship production AI systems, not just prototype them.

What you'll do

– Design and build agentic workflows on top of OpenAI's API (Realtime, function/tool calling, structured outputs)

– Develop and maintain the Rails backend that powers agent conversations, job execution, and integrations

– Improve the real-time voice/video pipeline (LiveKit, HeyGen LiveAvatar) for latency and reliability

– Build and maintain tool integrations (via Composio and direct APIs) that let agents take real actions

– Write background jobs (SolidQueue) that handle long-running or asynchronous agent work

– Debug production issues across the LLM, backend, and real-time layers, distinguishing transient failures from real bugs

– Collaborate closely with founders on product direction for what AI employees should be able to do next

What we're looking for

– 3+ years of professional software engineering experience, ideally with some in Ruby on Rails

– Hands-on experience building with LLM APIs (OpenAI, Anthropic, or similar) — prompting, tool/function calling, structured outputs

– Comfortable working across the stack: backend services, background jobs, and third-party API integrations

– Experience with or strong interest in real-time systems (WebSockets, streaming audio/video) is a plus

– Product sense — you can reason about what makes an AI employee actually useful, not just technically correct

– Pragmatic engineering judgment: you ship, measure, and iterate rather than over-engineering up front

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Who can apply

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