2 months ago
Mumbai, IndiaMid Level / Senior
Responsibilities
- Work across ML problems involving voice, data, recommendations, infrastructure, LLMs, and product systems.
- Train LLMs for AI agents used in consumer finance.
- Develop evaluation systems, harnesses, and monitoring systems.
- Own major technical areas from problem definition through production deployment.
- Design ML systems, fine-tune and integrate LLMs, tune prompts, and debug real-time production issues.
Requirements
- 2–5 years of hands-on engineering experience with exposure to ML or AI systems in production.
- Strong Python fundamentals, including writing maintainable code and debugging production issues.
- Some experience with LLMs through prompt engineering, API integrations, simple pipelines, or agents.
- Ability to learn quickly, take ownership, respond to feedback, and ship in a fast-moving environment.
Benefits
- Small, high-agency ML team with ownership from day one.
- Direct mentorship from senior engineers and the ML Lead.
- Opportunity to work on frontier applied AI problems impacting live consumer-finance conversations.
- Fast-paced environment with significant autonomy and high-impact work.
Tech Stack
Categories
About Prodigal
Prodigal builds a SaaS AI platform for consumer finance lenders and debt-collection operations to analyze conversations, guide agents, and automate compliance and recovery workflows. The company serves enterprises across North America with products for speech analytics, interaction intelligence, and collections optimization. Founded in 2018 and headquartered in Mountain View, California, Prodigal is privately held.