Zime AI is building an AI-native behaviour and revenue intelligence platform powering real-time sales playbooks, conversation intelligence, and workflow automation used by revenue teams at scale.
Tasks
- Design, build, and own GenAI features for sales intelligence products (AMA, AI Playbook Automation)
- Develop and optimize prompt templates and chains for LLM applications, ensuring high-quality, reliable
- outputs
- Implement RAG (Retrieval Augmented Generation) pipelines with vector search and semantic retrieval
- Build and maintain integrations with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks
- Own AI system performance monitoring using observability tools (Langfuse, etc.)
- Collaborate on system architecture decisions and technical tradeoffs for AI features
- Deploy and maintain AI services in production (Kubernetes, FastAPI backends)
- Evaluate and improve LLM outputs through systematic testing and iteration
Requirements
- 5-6 years of experience in software engineering with strong focus on GenAI/LLM applications
- Hands-on experience building production LLM applications and prompt engineering
- Proficiency in Python with experience in FastAPI, Django, or similar frameworks
- Working knowledge of vector databases (Pinecone, Weaviate, Qdrant, Chroma) and embedding models
- Experience with LLM orchestration frameworks (LangChain, LangGraph, or similar) Understanding of RAG architectures and semantic search
- Familiarity with Docker, Kubernetes, and cloud platforms (AWS/GCP)
- Strong problem-solving skills and ability to work independently with ownership
- Bachelor's or Master's degree in Computer Science from a top-tier university
Benefits
- Work closely with the AI Pod lead on core product and technical decisions
- Build real-world GenAI systems serving enterprise customers at scale
- High ownership with minimal bureaucracy—ship features fast
- Direct impact on product capabilities and company growth
- Competitive compensation and equity
- Bangalore office with a focused, collaborative team
We are a small startup with high drive, in an extremely competitive industry - and we are scaling from $1 mn ARR to $5 mn by end of 2026. We are building something phenominal in a heavily competitive industry and we are looking for people who want to build this with us.