engineering
Posted 1 weeks agoSenior Software Engineer - Platform
at Prodigaltech
On-site
Responsibilities
- Design and build the distributed systems infrastructure that powers PIE, processing millions of consumer interactions daily while maintaining sub-100ms response times for real-time agent decision-making
- Build robust data unification pipelines that reconcile and synthesize information across heterogeneous systems (CRMs, LMS platforms, dialers, communication channels) into coherent, actionable intelligence
- Create scalable platforms that can ingest, process, and serve insights from 500+ consumer attributes while supporting complex regulatory and compliance requirements
- Own end-to-end architecture and implementation - from high-level system design through production deployment and operational excellence
- Write production-grade code in Python, Golang, and Node.js that balances performance, maintainability, and speed of iteration
- Conduct rigorous code reviews, tackle complex distributed systems bugs, and take ownership of high-risk technical challenges
- Build comprehensive testing strategies spanning unit, integration, and regression capabilities to ensure reliability at scale
- Implement sophisticated monitoring, observability, and troubleshooting capabilities for complex distributed systems
- Drive improvements in key technical metrics: system availability, data freshness, query performance, and cost efficiency
- Influence technical direction and architectural decisions that span multiple teams and projects
- Mentor junior engineers through code reviews, architectural discussions, and collaborative problem-solving
- Champion engineering best practices, documentation standards, and operational excellence across the platform team ✅ Requirements
Requirements
- At Prodigal, we are building AI Agents for loan servicing and collections.
- Today, we stand at the forefront of a seismic shift in the industry, building Agentic AI applications for consumer finance.
- 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 Agentic AI applications that will revolutionize the future of consumer finance.
- We are building PIE (Prodigal Intelligence Engine) - the specialized intelligence layer that transforms AI agents from conversational interfaces into truly intelligent decision-makers.
- You're building infrastructure that doesn't just handle data at scale, but extracts meaning from it, enabling AI agents to make contextually intelligent, compliant decisions in real-time.
- This isn't incremental improvement - it's foundational work toward an agentic future where specialized AI agents collaborate autonomously to manage entire collections operations.
- Partner with ML teams to build infrastructure that supports model training, inference, and continuous learning loops
- B.Tech./BE/M.Tech Equivalent in Computer Science or relevant education
- Strong hands-on expertise with NoSQL & SQL databases (MongoDB, DynamoDB, PostgreSQL) and modern data warehouses (Redshift, Snowflake, Databricks BigQuery) Deep
- experience building scalable, secure, highly available software that operates reliably under production load
- Proficiency with AWS services, containerization (Docker/Kubernetes), and modern DevOps practices
- Expertise in observability and monitoring tools (Sentry, CloudWatch, Prometheus, ELK) for troubleshooting production systems
- Languages & Frameworks: Python, Golang, Node.js
- Databases: MongoDB, PostgreSQL, Databricks
- Infrastructure: AWS (EKS, EC2, Lambda), Kubernetes, Docker
- GenAI Tooling: Cursor, Claude code, and all other leading AI dev tools
- Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
Experience
- 4+ years architecting and building high-throughput, distributed data platforms that process millions of events daily
Benefits
- Bonus: Foundational knowledge of Machine Learning and AI systems - understanding how models are trained, served, and integrated into production applications
- Bonus: Experience building platforms that power real-time AI/ML workloads or agentic systems ⚙️ Our Tech Stack
- Health insurance - Health always comes first. The health of your family is as important to us, as it is to you. We offer insurance coverage for both you and your family.
- Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
Contact
- Our Story - https://www.prodigaltech.com/our-story
- What shapes our thinking - https://link.prodigaltech.com/our-thesis
- Our website - https://www.prodigaltech.com/
Additional details
- 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.
- We are backed by Y Combinator, Accel and Menlo Ventures.
- Powered by our cutting-edge platform, Prodigal’s Intelligence Engine (PIE), we’re creating the next-generation agentic workforce - one that empowers companies to achieve unprecedented levels of operational excellence and intelligence.
- 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.
- We're building the brain that makes agents understand context, make compliant decisions, and deliver personalized experiences at scale. Read more about PIE here About the role
- As a Senior Software Engineer on the Platform team, you'll architect the systems that power PIE - unifying siloed data sources across CRMs, lending systems, dialers, and communication channels into a unified intelligence layer.
- The systems you build today become the backbone of tomorrow's agentic workforce. What you'll do
- Strong expertise in troubleshooting complex production issues.
- Good problem solving, critical thinking, and communication skills. Should be able to find the right balance between perfection and speed of execution
- Comfortable working in a fast paced environment while continuously evaluating emerging technologies