Data Scientist
Chumley is an early-stage startup building intelligent software to streamline workflows for tradespeople. As an AI Engineer, you will design and ship LLM-powered agents, RAG pipelines, and intelligent automations integrated with Salesforce and internal back-office systems. The role requires strong Python and TypeScript skills, production experience with LLMs, and a focus on reliability and observability. You will work directly with the founding team to own the AI architecture and deliver real-world impact.
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Experience
Experience not specified
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Chumley is an early-stage startup building intelligent software to streamline workflows for tradespeople. As an AI Engineer, you will design and ship LLM-powered agents, RAG pipelines, and intelligent automations integrated with Salesforce and internal back-office systems. The role requires strong Python and TypeScript skills, production experience with LLMs, and a focus on reliability and observability. You will work directly with the founding team to own the AI architecture and deliver real-world impact.
TAL's take
Early-stage startup role with clear, high-impact responsibilities for building core product AI features.
The JD clearly defines the AI systems to be built, the tech stack, and the operational focus of the role.
Must haves
- Hands-on experience building with LLMs
- Proficiency in Python
- Proficiency in TypeScript or Node.js
- Experience with RAG, vector databases, and embeddings
- Familiarity with agent frameworks like LangChain or LlamaIndex
- Understanding of production AI operational realities like latency and cost
Tools and skills
Nice to have: fine-tuning, open-source llms, salesforce, rpa, no-code/low-code platforms.
About the company
Early-stage startup with no established public engineering brand.