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Genios AI Tech Stack

AI agents and LLM operationalization platform for financial services

Technology, Information and Internet Santa Clara, CA 11–50 employees Privately Held
geniosai.co LinkedIn

Genios AI builds infrastructure for deploying and managing AI agents in finance, with a tech stack spanning Python, Go, TensorFlow, and PyTorch paired with React/TypeScript frontends and Kafka-backed real-time analytics. The engineering-heavy hiring mix (9 of 10 open roles) tilted toward mid-level engineers signals active scaling of production ML systems—particularly around the LLM operationalization and autonomous agent orchestration work dominating their project list.

Tech Stack 25 technologies

Core StackPython Go TensorFlow React JavaScript TypeScript Tailwind CSS RAG Docker Kubernetes Kafka PostgreSQL Redis PyTorch scikit-learn FastAPI gRPC Framer Motion Chart.js Recharts React Query

What Genios AI Is Building

◆Challenges

  • Outdated clunky software
  • Fragmented financial data
  • Financial workflow automation
  • Scaling ai pipelines to production
  • Complex financial nightmares
  • Real-time financial analytics
  • Inefficient investment decision processes

▲Active Projects

  • Ai/ml and genai pipelines
  • Transform complex financial nightmares into intuitive user experiences
  • Real-time financial analytics platform
  • Genai solutions deployment
  • Llm operationalization
  • Ai-native platform for finance
  • Build scalable, responsive standards
  • Autonomous agent orchestration platform
  • Deploy and manage genai solutions such as chatbots, rag applications, and predictive analytics tools
  • Operationalize llms and ai agents, including prompt orchestration, chaining, and fine-tuning

Hiring Activity

Accelerating10 roles · 5 in 30d

Department

Engineering
9

Seniority

Mid
6
Senior
2
Intern
1
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About Genios AI

Genios AI develops an AI-native platform designed to automate and streamline financial workflows through autonomous agents and generative AI solutions. The product surface includes LLM operationalization (prompt orchestration, chaining, fine-tuning), real-time financial analytics, and deployment tooling for AI agents and RAG applications. They target financial services organizations wrestling with fragmented data, outdated legacy systems, and manual decision processes. The company is based in Santa Clara with a distributed hiring footprint spanning the United States and India.

HeadquartersSanta Clara, CA
Company Size11–50 employees
Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does Genios AI use?

Python, Go, TensorFlow, PyTorch, React, TypeScript, FastAPI, Docker, Kubernetes, Kafka, PostgreSQL, Redis, and RAG frameworks. Frontend includes Framer Motion, Tailwind CSS, and React Query.

What is Genios AI working on?

LLM operationalization, autonomous agent orchestration, real-time financial analytics platforms, and deployment solutions for AI agents, chatbots, RAG applications, and predictive analytics in financial services.

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