AI Engineer

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.