Careers

Join a Decision Science company. Build AI-driven decision systems, work on meaningful problems, and grow with us

WHAT WE WORK ON

Structuring problems to enable informed decisions.

Building decision systems in an AI-driven world.

Evaluating outcomes to improve decisions over time.

What We Look For

Curiosity, Ownership, Integrity

What We Offer

Employee Stock Options (ESOPs)

Shared ownership and profit participation

Comprehensive Group Insurance

Health security for you and your family

Continuous Education & Training

Lifelong learning and skill growth

Measurable Social & Environmental Impact

Applying Decision Science for real-world impact

Flexible Work Policy

Remote-first, trust-based, dress for comfort

Current Openings

AI Engineer Full-time · 3–5 Years Experience

Role Overview
We are looking for a hands-on AI Engineer to build and deploy LLM-based applications, retrieval systems, and intelligent automation workflows. You will work on production AI systems that solve real business problems.

Roles & Responsibilities

  • Design and develop LLM-powered applications
  • Build and maintain RAG pipelines
  • Implement vector search and embedding workflows
  • Develop APIs and integrate AI with enterprise systems
  • Optimize prompts, performance, and cost
  • Deploy and maintain AI services in cloud environments
  • Monitor, debug, and improve model performance

Skills & Requirements

  • 3–5 years of software development experience (Python preferred)
  • Experience with LLM APIs and RAG architectures
  • Familiarity with vector databases
  • Experience building REST APIs
  • Basic cloud deployment knowledge
AI Lead/Architect Full-time · 6–8 Years Experience

Role Overview
We are hiring an AI Lead to define AI architecture, guide system design, and drive enterprise AI deployments. You will translate business requirements into scalable, reliable AI systems.

Roles & Responsibilities

  • Define AI system architecture (RAG, agent workflows, orchestration)
  • Lead design and deployment of production AI solutions
  • Establish evaluation and reliability standards
  • Define governance and control mechanisms
  • Mentor AI engineers and review system designs
  • Align AI initiatives with business outcomes

Skills & Requirements

  • 6–8 years of software engineering experience
  • Strong experience with LLM systems and architecture design
  • Experience deploying scalable AI systems
  • Strong system design and technical leadership capability