AI Application Developer

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.