Prodigal aims to eradicate inefficiencies and confusion in the lending and collections industry by pioneering consumer finance intelligence through its AI platform, the Prodigal Intelligence Engine. The company seeks to build generative AI solutions that revolutionize how consumer finance companies engage with customers.
Requirements
- Strong Python programming skills and experience with ML frameworks
- Proficiency in prompt engineering techniques (few-shot learning, chain-of-thought meta-prompting, etc.)
- Knowledge of SQL and data analysis tools (Pandas, NumPy)
- Experience with experiment tracking and MLOps tools
- Understanding of real-time system constraints and latency optimization
- Ability to work with large-scale conversation data
- Familiarity with voice biometrics and authentication (bonus)
Responsibilities
- Design, test, and refine prompts for voice AI agents handling complex financial conversations
- Develop systematic prompt engineering methodologies and best practices for voice interactions
- Bring in new agent architectures to bring in the lowest latencies possible while maintaining high accuracy
- Create prompt templates and frameworks that scale across different use cases and customer segments
- Analyze conversation transcripts and performance metrics to identify improvement opportunities
- Use our Simulation Platform and existing call corpus of our customers to tune and improve AI Agent performance
- Develop automated evaluation frameworks for AI agent quality assessment
Other
- B.E/B.Tech/M.Tech in Computer Science, AI/ML, Linguistics, or equivalent
- Strong verbal and written communication skills and ability to explain technical concepts clearly
- Willingness to travel in the US for customer engagements
- Excellent analytical and problem-solving skills
