About the role

We are seeking an AI Engineer to build and implement AI systems for content production at scale. Youll work at the intersection of engineering and content designing prompt pipelines, integrating generative models, and building the tooling that turns source material into finished creative output. The ideal candidate is technically strong but also has taste: someone who understands story and craft, and can tell the difference between output thats technically correct and output thats actually good.

Responsibilities

Build and iterate on prompt pipelines and multi-agent workflow components
Design and integrate agentic workflows orchestrate multi-step, tool-using agents that plan, call models, and hand off between stages in production
Deploy and serve open-source models set up inference endpoints, manage GPU compute, and optimize for latency and cost
Write evals compare outputs against references, quantify quality, and feed results back into the pipeline
Work on data pipelines: structured extraction from messy source text, localization, similarity/dedup
Debug and maintain pipeline stages in production

What you bring:

(1+/3+) years of engineering experience, or a strong portfolio of shipped projects
Solid Python fundamentals clean, working, readable code
Hands-on experience with LLM APIs and prompt engineering (personal projects count)
Comfort with Git, REST APIs, and working in a Linux environment
A feel for content and narrative you can judge whether generated output is actually good, not just valid
Curiosity and clear communication you ask good questions and dont stay stuck silently

Preferred

Exposure to agent/orchestration frameworks (LangGraph, LangChain, CrewAI)
Familiarity with vector databases, embeddings, or RAG (Qdrant, pgvector)
Hands-on work with open-source generative media models Flux, LTX, Wan, or similar
Experience deploying open-source models for inference (vLLM, ComfyUI, Replicate/Cog, Docker + GPU)
Experience writing evals or LLM-as-judge scoring
Node.js and Fastapi familiarity, or experience deploying on AWS

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

AI Engineer

Job Description

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