Internal AI Job Board

Senior AI Engineer, Media

Acquisition.com - Remote, United States

This role is part of the Internal AI Job Board, a curated list of jobs for teams building or operating internal AI systems. Follow the original role page for the employer description, requirements, and application flow.

Compensation: COMPENSATION: $175,000 - $200,000 base salary The salary range may be inclusive of several levels that would be a

Responsibilities

• Design, build, and maintain agentic AI workflows, owning the full lifecycle from prototype through production monitoring. Framework choice is yours — LangChain/LangGraph, CrewAI, Google ADK, Anthropic’s managed agents, OpenAI Agents SDK, or no framework at all if that is the right call
• Build and operate generative media pipelines (video, audio, captioning, thumbnails, long-form to short-form repurposing) using ComfyUI, Fal, and direct model APIs. You will partner with the generative-media specialist on the deepest creative-tooling work once that role is filled
• Ship internal AI tools and dashboards (including search, retrieval, and MCP-exposed surfaces) that give Post, Art, Content, and Marketing teammates direct access to AI workflows without engineering support
• Build evaluation, monitoring, and failure-recovery systems for every workflow you deploy, including managed compute, model hosting, and API cost optimization
• Partner with the CTO and Tech team on infrastructure, deployment, security, and IP and data handling standards across all AI systems
• Translate department pain points into engineered solutions with measurable outcomes, train the receiving teams, and document every system you ship

Qualifications

• 5+ years building production software, with strong Python, API design, databases, and cloud infrastructure fundamentals. Enough frontend competence to ship a usable internal tool without a dedicated frontend engineer
• 2+ years building production agentic AI systems — framework-based (LangChain, LangGraph, CrewAI, Google ADK, Anthropic managed agents, OpenAI Agents SDK, AutoGen, or equivalent) or framework-free with custom orchestration. Hands-on experience with RAG (including multi-modal), evaluation, and prompt engineering
• Strong instincts for agent-tool interface design. Direct MCP experience is a plus; the bar is the ability to reason clearly about tool surfaces, schemas, granularity, and statefulness
• Proven track record building internal tools, dashboards, and API integrations that non-technical users actually adopt. Comfort partnering directly with creative roles — editors, writers, producers, designers — and translating their workflows into systems
• Demonstrated ability to operate in ambiguity, prototype rapidly, and ship production-grade systems without a fully scoped specification

Apply on the original posting