AI Agent Engineer

At Prodigal, we’re reshaping the future of consumer finance. Founded in 2018 by IITB alumni, our journey began with one bold mission: to eradicate the inefficiencies and confusion that have plagued the lending and collections industry for decades.

Today, we stand at the forefront of a seismic shift in the industry, pioneering the concept of consumer finance intelligence. Powered by our cutting-edge platform, Prodigal’s Intelligence Engine, we’re creating the next-generation agentic workforce for consumer finance—one that empowers companies to achieve unprecedented levels of operational excellence.

With over half a billion consumer finance interactions processed and a growing impact on more than 100 leading companies across North America, we’ve established ourselves as the go-to partner for organizations that demand more from their AI solutions. Our unparalleled experience, coupled with our trusted customer relationships, uniquely positions us to build generative AI solutions that will revolutionize the future of consumer finance.

At Prodigal, we are driven by a singular, unrelenting purpose: to transform how consumer finance companies engage with their customers and, in turn, drive successful outcomes for all.

About the Role

We're seeking an exceptional Agent Engineer specializing in Applied AI and Prompt Engineering to join our team building next-generation industry centric vertical Voice AI Agents. In this role, you'll be at the intersection of AI engineering and customer experience, crafting and optimizing prompts that power natural, effective voice conversations in consumer finance.

You'll work directly with our proprietary voice AI technology, analyzing conversation data, iterating on prompt strategies, and implementing systematic approaches to improve agent performance. This is a hands-on technical role that requires both engineering excellence and a deep understanding of conversational AI design.

🏆 Key Responsibilities

Prompt Engineering & Optimization

Design, test, and refine prompts for voice AI agents handling complex financial conversations

Develop systematic prompt engineering methodologies and best practices for voice interactions

Ability to meta-prompt and run experiments with different LLMs, bringing in m

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

Implement A/B testing strategies to measure and improve prompt effectiveness

Data-Driven Optimization

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

Create feedback loops (semi or fully automated) between production data and prompt refinements

Optimize prompts for latency, accuracy, and natural conversation flow

Voice AI Development

Collaborate with ML engineers to improve voice recognition and synthesis quality

Design conversation flows that handle edge cases and error recovery gracefully

Implement context management strategies for multi-turn conversations

Develop domain-specific language models for financial services

Customer Success & Travel

Travel to customer sites to learn from human agents and gather requirements

Conduct on-site prompt optimization based on customer-specific needs to deliver rapid iterations of prototype versions

✅ Requirements

Must-Have Qualifications

B.E/B.Tech/M.Tech in Computer Science, AI/ML, Linguistics, or equivalent

Strong Python programming skills and experience with ML frameworks

Ability to work with large-scale conversation data

Excellent analytical and problem-solving skills

Strong verbal and written communication skills and ability to explain technical concepts clearly

Willingness to travel in the US for customer engagements

Technical