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
- Bachelors or Masters 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 bureaucracyship 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.
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.TasksDesign build and own GenAI features for sales intelligence products (AMA AI Playbook Automation)Develo...
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
- Bachelors or Masters 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 bureaucracyship 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.
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