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AI Agent Engineer

Lending Intelligence Software company pioneering consumer finance intelligence through AI-powered solutions.
$150,000 - $180,000
Machine Learning
Mid-Level Software Engineer
In-Person
51 - 100 Employees
1+ year of experience
AI · Finance

Description For AI Agent Engineer

At Prodigal, we're reshaping the future of consumer finance through innovative AI solutions. As an AI Agent Engineer, you'll be at the forefront of developing next-generation voice AI agents that transform how financial institutions interact with their customers.

The role combines technical expertise in AI/ML with practical application in the financial sector. You'll work with cutting-edge technology, including GPT, Claude, and Gemini, while developing custom LLMs for specific financial use cases. Your responsibilities span from designing and optimizing prompts for voice AI agents to implementing sophisticated conversation flows and evaluation frameworks.

What makes this role unique is its direct impact on the financial services industry. You'll be working with a platform that has already processed over half a billion consumer finance interactions and serves more than 100 leading companies across North America. This gives you unprecedented access to real-world data and use cases, allowing you to develop AI solutions that solve actual business challenges.

The position requires a blend of technical skills and business acumen. You'll need strong Python programming skills, experience with ML frameworks, and proficiency in prompt engineering techniques. Additionally, you'll work directly with customers, traveling to their sites to gather requirements and optimize solutions based on their specific needs.

Prodigal offers a comprehensive benefits package, including competitive salary, health insurance, unlimited PTO, and continuous education opportunities. You'll join a world-class team with backgrounds from top institutions and companies like BCG, Deloitte, Meta, and Amazon.

The company's technology stack includes modern tools and frameworks:

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

This role is perfect for someone who wants to be at the intersection of AI innovation and practical business applications in the financial sector. You'll have the opportunity to shape the future of consumer finance while working with a team that values technical excellence, customer success, and continuous learning.

Founded in 2018 by IITB alumni, Prodigal has quickly established itself as a pioneer in Consumer Finance Intelligence. The company's mission is to build the intelligence layer that powers Consumer Finance, aiming to become the next iconic vertical SaaS company. With nearly one in five U.S. borrowers already engaging with Prodigal's technology, your work will have a significant impact on the industry's future.

Last updated 11 days ago

Responsibilities For AI Agent Engineer

  • Design, test, and refine prompts for voice AI agents handling financial conversations
  • Develop systematic prompt engineering methodologies for voice interactions
  • Create prompt templates and frameworks that scale across use cases
  • Implement A/B testing strategies to measure and improve prompt effectiveness
  • Analyze conversation transcripts and performance metrics
  • Develop automated evaluation frameworks for AI agent quality assessment
  • Optimize prompts for latency, accuracy, and natural conversation flow
  • Collaborate with ML engineers to improve voice recognition and synthesis quality
  • Design conversation flows that handle edge cases and error recovery
  • Travel to customer sites to learn from human agents and gather requirements

Requirements For AI Agent Engineer

Python
MongoDB
PostgreSQL
Redis
  • 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
  • Willingness to travel in the US for customer engagements
  • Proficiency in prompt engineering techniques
  • 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

Benefits For AI Agent Engineer

Medical Insurance
Vision Insurance
Dental Insurance
Education Budget
Visa Sponsorship
  • GenAI Experience – Work at the cutting edge of voice AI and prompt engineering
  • World-class Team – Learn from experts from BCG, Deloitte, Meta, Amazon
  • Continuous Education – Full sponsorship for courses, certifications, conferences
  • Health Insurance – Comprehensive coverage for you and family
  • Flexible Schedule – Work when most productive
  • Unlimited PTO
  • All meals provided when working from office
  • Regular team bonding activities

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