
AI Application Developer
2 weeks ago
At OOm
We're building an AI-powered platform that helps marketers make smarter decisions—faster. If you've worked with LLMs, prompt engineering, or retrieval-augmented generation (RAG), we want you on our team. This isn't an "AI feature" role—this is an AI product role.
What You'll Work On
You'll build user-centric AI/ML products and LLM-powered assistants. Expect hands-on work with tools like LangChain, Google Gemini, OpenAI, and vector databases like Pinecone or Weaviate.
What You'll Bring
- Solid Python or backend experience
- Hands-on work with LLM APIs or prompt engineering
- Familiarity with RAG architecture, vector embeddings, or agent-based flows
- Experience building usable AI features in production environments
- Frontend skills (React) to bring your AI tools to life
Tools You Might Touch
- LangChain, LlamaIndex, Gemini, OpenAI
- Qdrant / Weaviate / Pinecone
- Google Vertex AI / Azure OpenAI
- Firebase, GitHub Actions
- React (for UI integration)
Why This Role?
You'll work in a fast-moving, product-led environment where AI is not an afterthought—it's the foundation. You'll ship fast, own what you build, and see your work impact real users.
How to Apply?
Send us a portfolio or GitHub link to projects where you've built with LLMs, prompt orchestration, or intelligent automation. Bonus if you can break down your approach to embeddings or RAG flows.
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