About Vidrush
Vidrush is building a modern AI-powered product that helps creators produce high-quality videos faster. We combine LLM-driven workflows with video intelligence to automate the hardest parts of creation — while keeping the user in control.
We’re early-stage, moving fast, and hiring engineers who want real ownership and direct impact.
The Role
We’re looking for an AI Engineer to build and ship production-grade agentic workflows and video intelligence modules. You’ll work on systems that combine LLMs, tools, and media understanding to solve real product problems.
This is a hands-on engineering role: you’ll prototype quickly, harden what works, and deploy scalable pipelines into production.
What You’ll Do
- Build agentic systems that can reason, plan, and execute multi-step tasks reliably
- Design and deploy LLM-based services (tool use, structured outputs, evals, monitoring)
- Develop video/image intelligence pipelines (retrieval, matching, classification, metadata extraction, generative augmentation)
- Integrate existing APIs and tools when appropriate (strong build-vs-buy judgment)
- Ship scalable inference pipelines on cloud infrastructure
- Apply MLOps / LLMOps best practices: observability, testing, evals, versioning, cost control
- Work closely with founders and product to iterate quickly based on user feedback
What We’re Looking For
- Strong Python engineering skills and proven ability to ship production systems
- Experience building with LLMs (OpenAI-style APIs, tool calling, RAG, structured generation)
- Experience deploying ML/LLM services in production (cloud, containers, serverless, async pipelines)
- Practical understanding of video/image processing (CV or media pipelines)
- High autonomy: you can take vague problems and turn them into shipped solutions
- Strong engineering fundamentals: clean code, reliability, performance, and cost awareness
Nice to Have
- Agent orchestration frameworks (LangGraph, LangChain, AutoGen, CrewAI, etc.)
- Experience with vector search / embeddings / retrieval systems
- Experience with workflow orchestration (queues, batch jobs, event-driven systems)
- Experience with PyTorch and GPU inference optimization
- Experience working on media-heavy products (video editing, video generation, large file pipelines)
How We Work
- Small team, high trust, high ownership
- Bias to action and shipping
- Lightweight specs, fast iteration
- Strong focus on developer experience, testing where it matters, and observability
Apply
Send:
- GitHub / portfolio (if available)
- a short note on relevant projects (agents, LLM workflows, video pipelines)
- your timezone + availability