**Pioneer of AI Innovation**

6 days ago


Dindigul, Tamil Nadu, India beBeeAIENGINEER Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

About Our Organization

  • We are a mission-driven group that focuses on building next-generation AI-native finance technology for enterprises.
  • Our core values - ownership, customer obsession, truth-seeking, and velocity - guide everything we do.
  • We collaborate closely with seasoned technology, finance, and AI leaders.
  • We maintain a small, talent-dense team of domain experts and technologists.

Job Overview

We are seeking an extremely talented Lead to Principal-Level AI engineer to help us pioneer the future of finance and accounting. The ideal candidate must have experience building high-quality, complex, yet maintainable LLM apps and agents, and should be able to do so in a fraction of the time that most competent people think is possible.

The successful candidate will:

  • Architect and build the core AI platform that powers finance and accounting solutions.
  • Design, develop, and productionize large-scale LLMs, RAG pipelines, and autonomous agents.
  • Define and enforce best practices for prompt engineering, model fine-tuning, and evaluation.
  • Mentor and grow a team of AI engineers, guiding technical design reviews and code quality.
  • Partner closely with Product, Data, and Customer teams to translate finance use cases into robust, scalable solutions.

Required Skills and Qualifications

To succeed in this role, you must have:

  • 8+ years of experience building backend services in Python, Node.js, or similar technologies.
  • Deep experience and intuition with LLMs.
  • Cutting-edge knowledge of code generation and prompting techniques.
  • Experience building agents and tooling for agents.
  • Expertise in API design (REST, GraphQL) and relational databases.
  • Strong problem-solving, communication, and collaboration skills.

Desirable Skills

While not required, having these additional skills would be beneficial:

  • Top-tier institute education.
  • Experience building fintech software.
  • Experience working in a large enterprise / big tech environment.

Tech Stack

We utilize NextJS, Python, LangGraph, AWS, Neo4j, PostgreSQL, and MongoDB in our technology stack.



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