Location: In Office / Hybrid — Bengaluru
Role Type: Full-time
About the Team
Cheerio is a no-code CRM & revenue management platform enabling businesses to retain customers like enterprise CRMs—at 1/20th the cost, with zero complexity. Available across web and mobile, we're democratizing advanced customer management for millions of businesses globally.
Join us as a founding engineer during our most explosive growth phase.
About the Role
We're hiring a Technical Lead / Senior Full-Stack Developer with deep expertise in AI systems, modern full-stack engineering, and scalable distributed architectures. This is a hands-on, high-ownership role for someone who wants to build, architect, and lead from the front.
You will:
- Own end-to-end system design, architecture, and tech decision-making
- Build and scale a high-volume platform powering AI-driven CRM automation
- Lead the integration and productionization of LLMs (OpenAI, Anthropic, Llama, etc.)
- Architect agentic AI workflows, orchestrators, and multi-agent systems
- Design and optimize pipelines using LangChain, LangGraph, and other orchestration frameworks
- Architect and query vector databases (Pinecone, Weaviate, Milvus, Chroma) for semantic search & retrieval
- Implement Retrieval-Augmented Generation (RAG) pipelines at scale
- Leverage embeddings, fine-tuning, model evaluation, and prompt engineering best practices
- Own scalable infra involving MongoDB, distributed services, caching, queues, and event systems
- Collaborate directly with founders on product & roadmap
- Hire, mentor, and scale a world-class engineering team
- Translate business goals into technical milestones with a bias for action
What We're Looking For
Core Engineering Requirements
- 5+ years in MERN (MongoDB, Express, React, Node.js)
- Strong experience in system design, high-scale architectures, distributed systems
- Proven ability to scale MongoDB clusters and optimize high-throughput data pipelines
- Deep experience with CI/CD, containerization, and AWS or similar cloud stacks
- Prior leadership owning products/modules end-to-end
- Strong understanding of DevOps, microservices, and agile development
- Elasticsearch / OpenSearch
- Event-driven systems (Kafka, AWS Kinesis, RabbitMQ)
- High-scale caching layers (Redis)
Applied AI Expertise (Required)
- Hands-on experience building and deploying LLM applications in production
- Strong familiarity with LLM orchestration using:
- LangChain / LangGraph
- Haystack, LlamaIndex, or equivalent frameworks
- Proficiency with vector databases:
- Pinecone, Weaviate, Milvus, Qdrant, Chroma
- Experience designing RAG systems, semantic search, embeddings, chunking strategies
- Ability to build AI agents:
- Tool-using agents
- Multi-step reasoning and workflow automation
- Agentic planning and memory systems
- Knowledge of:
- OpenAI function calling, model routing, fallbacks, tool integration
- Prompt engineering, evaluation frameworks, LLM latency & cost optimization
- Fine-tuning, distilled models, adapters (LoRA/QLoRA), inference optimization
- Experience with LLMOps (monitoring, observability, model versioning)
- Understanding of Kafka / Redis / WebSockets for real-time AI pipelines
- Familiarity with transformer architectures, tokenization, and model performance limits
Bonus Points
- Experience with MarTech / AdTech / CRM platforms
- Hands-on experience with:
- Experience optimizing LLM cost/performance at scale
- Exposure to AI security, PII handling, data privacy & compliance
Why Join Us
- Build a category-defining global SaaS product
- Work closely with founders and leadership
- Own meaningful product areas end-to-end
- Join a fast-moving team with a culture of trust, ownership, and speed
