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Genios AI

AI-driven financial intelligence platform for investments

Software Engineer - Finance Verticals

AI Application EngineeringUpdated on Nov 14
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • Have 3 or more years of experience in software engineering.
  • Be proficient in Python.
  • Be comfortable with application programming interfaces, SQL, and structured data/configuration formats such as JSON and YAML.
  • Be able to translate business requirements into concrete data models, calculations, workflows, prompts, and technical requirements.
  • Be able to debug across data, logic, prompt, and system boundaries.
  • Be able to distinguish the customer’s stated request from the underlying workflow need.
  • Use artificial intelligence coding and reasoning tools effectively to work faster.
  • Have high ownership and operate well in a fast-moving startup environment.

Responsibilities

  • Design and ship production workflows for finance use cases, including Investment Banking, CFO/FP&A, and VC, using the platform’s composable components.
  • Translate messy business processes into concrete technical implementations by modeling data, ingesting and normalizing inputs, encoding business logic such as KPIs, forecasts, valuation, and variance analysis, and combining deterministic logic with large language model-driven reasoning and authoring.
  • Ship quickly, observe how customers use workflows, refine the experience, and improve quality based on real feedback.
  • Identify missing platform capabilities, communicate clear requirements to Backend, Frontend, and AI teams, and avoid solving every vertical need as a one-off hack.

About the Company

Genios AI

AI-driven financial intelligence platform for investments

Genios AI provides a financial intelligence platform for investors, advisors, and dealmakers that combines financial data, AI agents, and collaborative workspaces to automate complex workflows such as data extraction, model validation, and calculations for M&A, forecasting, and reporting. It encodes a client’s methodologies and brand identity into every output to ensure consistent analysis and a unique voice, while offering traceability with clickable source passages from documents like 10-Ks or transcripts. The system supports a change-once, update-everywhere workflow with a live audit trail, so updates propagate across all models and analyses. The goal is to help investment teams analyze opportunities more efficiently and accelerate deal decisions through structured, bespoke analysis and automated reporting.

Company size
11-50
Company stage
Series A
Total funding
$19.1M
Headquarters
Santa Clara, CA
Founded
2024

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