AI Engineer - Agentic Solution For Financial Markets

About Us

Our mission is to empower researchers, traders, asset managers and risk managers to make better decisions in financial markets

Harmoney has built an agentic solution to deliver data and analytics to the users. This helps them generate insights in seconds vs hours with traditional means.

Harmoney is backed by Y Combinator and has raised $5 mn in funding.

Solid team - worked at Goldman Sachs, Amazon, Tata Capital, Paysense, and leading schools such as IITs and Purdue

We are a product company, and our engineering team is at its heart. Our engineers thrive on innovation and the freedom to try out new things.

Responsibilities

We’re on a mission to make financial data more actionable.

We’re looking for an AI Engineer who is excited to build and scale an agentic framework for financial-market workflows. You’ll own core pieces of our agentic system: from orchestration and tools to evaluation and benchmarking.

What will you do?

• Design & implement the agentic framework
• Build and evolve agentic workflows tailored to financial markets (research, trading, risk, etc.)
• Integrate internal & external data sources, tools, and APIs into the agentic system
• Own evaluation & benchmarking
• Design and maintain an evaluation framework for agentic workflows
• Define and track benchmarks for accuracy, reliability, latency, and user experience
• Run experiments and iterate quickly based on evaluation results and user feedback
• Work closely with business & domain teams
• Collaborate with researchers, traders, and product teams to understand real-world use cases
• Translate financial workflows into robust, production-grade agent behaviours
• Continuously refine agents based on actual user behaviour and edge cases
  

• Strong programming skills
• Solid Python skills (production-quality code, testing, packaging, etc.)
• Comfortable with SQL for querying and working with financial or analytical datasets
• AI / LLM mindset
• Curiosity and eagerness to explore new AI tools, libraries, and techniques early
• Ability to iterate fast: prototype, evaluate, refine
• Problem-solving orientation
• Enjoy working on open-ended problems with imperfect data and real-world constraints
• Comfortable working closely with non-engineering stakeholders
  

• Small, fast-moving team → lots of ownership
• Real impact at the intersection of finance + tech
• Space to experiment and grow with us