AI Agent Engineer

About the role

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.

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
• Ability to meta-prompt and run experiments with different LLMs
• 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
• 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
• 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
• 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

• 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
• 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
• 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

Qualifications

• 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

Benefits

• 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

Schedule

Work when you're most productive, with core collaboration hours.

Pay

₹3M - ₹5M INR