Prodigal is a pioneer of Consumer Finance Intelligence, a new category of AI software that derives actionable insights from customer and patient interactions. Lenders and healthcare providers rely on Prodigal to boost profits, customer experience, and compliance by optimizing operations and quality assurance in their loan servicing and collection contact centers. 

Prodigal’s global team, whose backgrounds intersect at financial services and data science, is headquartered in Mountain View, California. Backed by technical and industry experts, Prodigal’s mission is to build the intelligence layer that powers Consumer Finance, becoming the next iconic vertical SaaS company. Nearly one in five U.S. borrowers have already engaged with Prodigal over more than 200 million interactions.

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 Skills

• 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

Bonus Qualifications

• Familiarity with voice biometrics and authentication
• Experience with real-time streaming architectures
• Published research or blog posts on prompt engineering or conversational AI
• Experience with multilingual voice AI systems

🎁 What We Offer

Job Benefits

• GenAI Experience – Work at the cutting edge of voice AI and prompt engineering, shaping the future of conversational AI in consumer finance
• World-class Team – Learn from and collaborate with experts from BCG, Deloitte, Meta, Amazon, and top institutes like IIT and IIM
• Continuous Education – Full sponsorship for courses, certifications, conferences, and learning materials related to AI and prompt engineering
• Travel Opportunities – Gain exposure to diverse customer environments and real-world AI implementations
• Health Insurance – Comprehensive coverage for you and your family
• Flexible Schedule – Work when you're most productive, with core collaboration hours
• Generous Leave Policy – Unlimited PTO to ensure you stay refreshed and creative
• Food at Office – All meals provided when working from office
• Recreation & Team Activities – Regular team bonding through sports, games, and social events

Our Tech Stack

• AI/ML: GPT, Claude, Gemini, Custom LLMs
• Languages: Python
• Infrastructure: AWS (Lambda, SageMaker, EKS), LiveKit for Real-time streaming
• Data: MongoDB, PostgreSQL, Databricks, Redis
• Tools: MLflow, Custom prompt management platforms

Why This Role Matters

As a Founding Agent Engineer focused on voice AI and prompt engineering, you'll directly impact how millions of consumers interact with financial services companies, and also be able to lay out how Agent Engineering grows at Prodigal. Your work will have immense implications for:

1. Consumer Finance
2. How Prodigal operates
3. Setting the industry standard in Voice AI

From day 1, Prodigal has been defined by talented, humble, and hungry leaders and we want this mindset and culture to continue to blossom from top to bottom in the company. If you have an entrepreneurial spirit and want to work in a fast-paced, intellectually-stimulating environment where you will be pushed to grow, then please reach out because we are looking to build a transformational company that reinvents one of the biggest industries in the US.

To learn more about us - please visit the following:

Our Story- https://www.prodigaltech.com/our-story

What shapes our thinking - https://link.prodigaltech.com/our-thesis

Our website - https://www.prodigaltech.com/ 

Techstack: ReactJS, CSS, Javascript, Python, MongoDB

Interesting problems we're solving

• Creating an intuitive UI for a speech analytics product. Traditional speech analytics products have very poor usability and are hard to implement for a business.
• Return search results on the call corpus for queries such as "Which calls had a payment dispute?"