We're seeking a Head of Machine Learning to own and scale the ML function at Prodigal. This is the senior-most ML role in the company — partnering directly with the CTO as a peer technical leader, defining the multi-year ML vision, building and leading a world-class team, and translating cutting-edge research into production systems that move the needle for over 100 customers and millions of consumers. You'll set the bar for technical excellence, hire and develop the next generation of ML leaders, and shape what consumer finance intelligence looks like over the next decade. If you've operated at this level before — or are ready to step into it at a company where ML is the engine of the product — we want to talk.

Responsibilities:

• Own the ML function end-to-end — vision, roadmap, team, delivery, and measurable business impact across classical ML, NLP, GenAI, and Agentic AI
• Partner with the CTO as the senior ML leader to set company-wide technical direction and shape the long-term roadmap for Prodigal's Intelligence Engine
• Build and lead a high-performing ML organization — hire, mentor, and develop ML engineers, applied scientists, and tech leads across multiple pods
• Translate research into product — drive the application of LLMs, Agentic AI, the modern NLP stack, recommendation systems, and classical ML into production systems serving 100+ customers
• Set technical standards for model development, deployment, monitoring, evaluation, and experimentation that scale across the org
• Architect data and ML infrastructure in partnership with the platform and engineering teams to support large-scale training and reliable, low-latency inference
• Communicate strategy and outcomes clearly to the founders, board, customers, and broader engineering organization
• Represent Prodigal externally — at conferences, in research collaborations, and as a senior voice in the consumer finance AI community
• Stay at the frontier of ML and GenAI research, identifying where new techniques unlock product and business advantage
• Collaborate cross-functionally with product, engineering, GTM, and customer success leaders to ensure ML investment ties directly to revenue, retention, and customer outcomes

Requirements:

• 10+ years of experience in machine learning and software development at a tech or product company, with 4+ years leading ML teams (managing engineers and/or tech leads)
• Proven track record of shipping ML products in production at scale with measurable business impact
• Deep technical fluency across classical ML, deep learning, and the modern NLP/LLM stack — you can still go deep in design reviews, not just review at the surface
• Strong coding skills in Python. Hands-on with PyTorch, scikit-learn, Pandas, and Spark
• Demonstrated success hiring, mentoring, and growing ML talent — including team leads and senior engineers
• Strong executive communication and the ability to set technical direction with founders, peers, and the board
• A bias for outcomes — you connect model work to revenue, engagement, and operational metrics

Preferred Qualifications:

• Experience as a founding ML hire, ML lead, or applied science leader at a high-growth AI/ML product company
• Background in voice AI, conversational AI, speech, NLP on unstructured text, or fintech/lending domains
• Experience with cloud services (AWS), Databricks, and building scalable, distributed systems
• Track record of running A/B testing and experimentation programs at scale
• Patents, publications, or open-source contributions; strong institutional pedigree (IIT, BITS, NIT, IISc)
• Experience scaling an ML org through a hypergrowth phase

Job Benefits

• GenAI at the core – Lead the ML function at a company where AI isn't a feature, it's the product. Shape groundbreaking work that redefines consumer finance intelligence.
• World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
• Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
• Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
• 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.
• Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
• 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.
• Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions, and challenge each other to do those extra push-ups or chug that 4th drink (of course, that's Nimbu Pani).

Meet Sangram (Cofounder and CTO) and hear his vision for Prodigal: https://www.youtube.com/embed/FTWlN9fwiIA?feature=shared

About the Role

This is not a traditional engineering role. This is a seat at the table.

You will work directly with Prodigal's CTO across the full breadth of building a frontier AI company — technical roadmap, AI projects, customer conversations, GTM collaboration, hiring, and everything in between. Think of it as an accelerated apprenticeship for a future CTO or technical founder. You will be handed ambiguity, context, and trust — and expected to run with it. Over one year, you will touch more dimensions of company building than most engineers see in a decade.

We are looking for someone in explore mode — technically sharp, intellectually restless, and hungry to understand how great companies are built from the inside.

What You'll Own

AI Projects & Technical Execution

• Lead high-priority AI projects end-to-end — voice AI, LLM reasoning, evaluation frameworks, and agentic systems — from research to production
• Work hands-on with frontier models, prompt engineering, real-time voice pipelines, and PIE, Prodigal's Intelligence Engine powering millions of live consumer finance conversations
• Evaluate emerging AI capabilities and support pragmatic build-vs-integrate decisions alongside the CTO

Strategy, Customers & GTM

• Participate in roadmap discussions, competitive analysis, and translating customer insights into engineering direction
• Join customer conversations and escalations; collaborate with Sales, Marketing, and Customer Success on technical enablement and thought leadership that represents Prodigal at the cutting edge

Hiring, Culture & Operations

• Participate in recruiting — evaluating submissions, interviewing, building assessment frameworks — particularly for campus hiring from premier institutions
• Be a sounding board for architectural decisions, tradeoffs, and team dynamics; help identify gaps before they become problems

What You Bring

• Strong CS fundamentals with hands-on Python and/or TypeScript — you write clean, production-ready code
• 0 to 5 years of experience; in explore mode, not exploit mode — still building, still hungry, not optimizing a narrow lane
• Genuine curiosity about AI — you read papers, build side projects, and form opinions about where the technology is heading
• High bias for action, comfort with ambiguity, and clear communication across engineers, customers, and executives
• A builder's mentality — you've made things that required sustained effort to bring into existence

Even Better

• Hands-on experience with LLMs — prompt engineering, evaluation, fine-tuning, or building LLM-powered applications
• Exposure to voice AI, real-time systems, or agentic architectures
• Considering a Masters in CS or AI, or recently completed one

Why This Role

Compounding Learning at an Uncommon Pace

Most early-career engineers spend years getting depth in one domain. This role gives you breadth and depth simultaneously — AI, product, customers, hiring, company building — all in one year, directly alongside a technical co-founder.

Proximity to the Frontier

Voice AI that reasons, decides, and acts in real-time financial conversations is one of the hardest applied AI problems being worked on right now. You will be building it, not reading about it.

A Blueprint for What You Want to Become

Whether you want to be a CTO, a technical founder, or a world-class AI researcher — this role is designed to accelerate that path. Real ownership, real stakes, increasing responsibility as you demonstrate it.

Job Benefits: 

• World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
• Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
• Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
• 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.
• Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
• Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation allowance here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
• Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions and challenge each other to do those extra push ups or chug that 4^th drink (of course that’s Nimbu Pani)

Meet Sangram - (Cofounder and CTO) and hear his vision for Prodigal below (01:38)

The Role

This is one of the most critical and demanding roles at Prodigal.

As an AI Deployment Lead, you are the person who takes an AI agent from a signed contract to a live, performing system and then keeps it getting better. You sit at the intersection of customer understanding, technical depth, and operational rigor. You own the outcome.

You will work directly with our North American customers - debt collection agencies, lenders, and loan servicers, to understand how their businesses actually run: their call flows, agent scripts/talk-tracks, compliance constraints, telephony/ dialer infrastructure, payment gateways, CRM systems, and APIs. You will translate that understanding into precise requirements and make sure what gets built is right before it ever touches a live call in production.

This is not a project management role with a technical veneer. You will design how the agent should think, speak, and behave across every scenario, validate that it does, and push for refinements until the system performs at the level the customer and you expect.

If you want to understand how enterprise AI actually gets deployed at scale, not in theory but in production, this is that role.

What You'll Own

Customer Discovery and Scoping

• Deeply understand each customer's business and existing call workflows.
• Map their full tech stack: telephony dialer, payment processors, portals, CRMs, and the APIs connecting them
• Design call flow diagrams and interaction maps that translate customer workflows into precise agent behaviours
• Translate complex, sometimes ambiguous requirements into clear, actionable scopes for engineering

Deployment and Phased Delivery

• Own end-to-end delivery across multiple deployment phases
• Manage 4 to 6 concurrent deployments with strong project governance, clear milestones, and zero surprises for the customer
• Drive all customer-facing calls, from kickoff through go-live, with clarity, confidence, and follow-through

Agent Validation and Performance

• Design comprehensive scenarios covering happy paths, edge cases and adversarial situations to ensure the agent is production-ready
• Conduct test calls alongside Agent Engineers to evaluate agent performance across real-world conditions
• Own the feedback loop: test → identify gaps → brief the Agent Engineer → retest → validate and approve

Post-Go-Live Ownership

• Stay close after launch: track agent KPIs, surface performance issues, manage post-production bugs, and drive continuous improvement
• Lead phased expansion, each new capability is a new deployment with its own scoping, testing, and go-live cycle
• Serve as the primary escalation point until the deployment reaches a stable, handoff-ready state

Stakeholder Management

• Navigate multi-stakeholder customer environments: CXOs, Operations, Compliance, IT, and Tech teams, each with different priorities and vocabularies
• Be the person customers trust - responsive, on top of every commitment, and always a step ahead
• Internally, work across functions to unblock delivery and represent the customer's reality

Who You Are

• 2+ years of work experience in B2B SaaS, consulting, digital transformation, or technical deployments/ implementations
• Experience deploying or managing voice AI agents, conversational AI, or automation systems is a strong plus
• Familiarity with the US consumer finance or debt collections industry is a plus, not a requirement
• You understand how APIs work, can read a basic integration spec, and can hold a credible technical conversation without being an engineer
• You're the kind of person who anticipates problems before they surface and builds for them
• Strong communicator, equally comfortable presenting to a CXO and working through an escalation path with an engineer
• You thrive in ambiguity and figure things out without waiting to be told how. This role comes with high ownership and low hand-holding by design
• You'll report to the Head of Customer Success and Deployments
• You'll be joining a growing deployment team
• Experience working with or for North American customers is preferred

What You'll Learn

• How to take AI agents from demo to production in one of the most regulated, high-stakes industries in the US
• How to design and validate AI systems that are safe, compliant, measurable, and commercially meaningful
• How enterprise telephony, payment infrastructure, and compliance requirements shape what AI can and cannot do in the real world
• How to operate at the intersection of product, AI, and mission-critical customer communication

About The Team:

You’ll join Prodigal’s Strategy & Operations team, the consulting and services arm of the company. We partner with lenders (Banks, NBFCs & BNPLs etc.) and debt collection agencies to transform how they engage consumers using data-driven insights and AI-powered workflows. The team sits at the intersection of product, data science, and client operations: designing strategy, building execution pipelines, and running experiments that deliver measurable lifts in recoveries and channel performance..

Role Overview:

As a Strategy & Operations Lead, you will own end-to-end consumer engagement and collections strategy for a portfolio of 3-4 clients. This is a hands-on role where you’ll move from problem identification to strategy design to execution, directly operating workflows across various engagement channels. You will work directly with senior client leaders, including CXOs, owning both strategic outcomes and the relationship. In a span of 6-12 months from joining, you'll have the opportunity to hire and lead analysts to amplify your experience and drive more impact.

Responsibilities :

Strategy:

• Act as a strategic advisor and industry expert to the CXOs of the customers you manage. They will rely on you for advice on what’s best for their business
• Own end-to-end engagement strategy, defining strategies to drive improvements in collections & recoveries, self-serve usage, and consumer experience
• Design structured experimentation frameworks by crafting hypotheses, choosing success metrics, and analyzing results to continuously refine strategy and inform scalable best practices
• Partner with data science teams to shape and operationalize models (e.g., channel affinity, right-time-to-contact, offer logic), ensuring strategies correctly leverage behavioral patterns

Operations:

• Ensure strategies are implemented and working as expected
• Monitor performance dashboards, resolve workflow issues, and ensure campaigns are live, accurate, and compliant
• Develop KPI frameworks to track performance, translating data into actionable insights to drive measurable impact
• Improve underlying processes and systems to increase transparency, attribution accuracy, and speed of iteration, partnering with product and engineering on roadmap priorities

Requirements :

• Bachelor's degree in Engineering, Mathematics or a related field (preferably from Tier 1 college) with minimum 1 year of experience in consulting (Tier 1 or Tier 2)
• Familiarity with SQL, Python, or other data analysis and scripting tools is a plus
• High reliability and attention to detail
• Strong communication skills
• Bachelor's degree in Engineering, Mathematics or a related field
• Other Job Benefits: 

Job benefits :

• World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
• Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
• Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
• 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.
• Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
• Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation allowance here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
• Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions and challenge each other to do those extra push ups or chug that 4^th drink (of course that’s Nimbu Pani)

Meet Sangram - (Cofounder and CTO) and hear his vision for Prodigal below (01:38)

About The Team

You’ll join Prodigal’s Strategy & Operations team, the consulting arm of the company. We partner with creditors in consumer finance (Banks, NBFCs & BNPLs and debt collection agencies) to transform how they engage with consumers using data-driven insights and AI-powered workflows. The team sits at the intersection of product, data science, and client operations: designing strategy, building execution pipelines, and running experiments that deliver measurable lifts in recoveries and channel performance.

Role Overview

As a Strategy & Operations Analyst, you will work with the team to execute and scale high-impact strategies and initiatives for clients. You’ll both build and scale: owning live AI based strategies, testing new ideas, identifying and solving client challenges, and driving strategic initiatives.

This is beyond a traditional consulting role where impact ends at strategic recommendations. Here, you will own strategies end-to-end, from design to live execution. You’ll have visibility over their direct, measurable impact on real business outcomes. You’ll operate in a high-growth environment with accelerated learning, full ownership, and continuous exposure to CXOs. The role also offers periodic travel to the US for client meetings and industry conferences, giving you on-ground global exposure.

This role is designed as a fast-growth pathway into a Strategy & Operations Lead position, based on performance, learning velocity, and leadership readiness.

Mode of work - 5 days in office

What makes you a good fit? 

You enjoy solving real-world problems and taking full ownership of outcomes, not just analyses. You combine structured thinking with execution discipline and are comfortable working in fast-moving, client-facing environments. You’re motivated by measurable impact, continuous learning, and early responsibility. 

Responsibilities

Strategy:

• Act as a strategic advisor and industry expert to the CXOs of the customers you manage. They will rely on you for advice on what’s best for their business
• Own end-to-end engagement strategy, defining strategies to drive improvements in collections & recoveries, self-serve usage, and consumer experience
• Design structured experimentation frameworks by crafting hypotheses, choosing success metrics, and analyzing results to continuously refine strategy and inform scalable best practices
• Partner with data science teams to shape and operationalize models (e.g., channel affinity, right-time-to-contact, offer logic), ensuring strategies correctly leverage behavioral patterns

Analytics and Operations:

• Develop insightful, scalable reports and dashboards to track key performance metrics and proactively track deviations, trends, and anomalies
• Lead the execution and monitoring of A/B tests to measure product improvements and optimize service delivery
• Continuously improve underlying processes and systems by designing structured experiments, analyzing results, and translating learnings into scalable improvements

Requirements

• Bachelor's degree in Engineering, Mathematics or a related field (Tier 1 graduating in 2026 preferred)
• Deep interest in consulting or product management
• Relevant data analytics experience
• Proficiency in Excel, Python, SQL, and Tableau/other BI tools is preferred
• Excellent communication skills (written and verbal), with the ability to clearly present findings to stakeholders and team members

Evaluation Process (Virtual Recruitment Drive):

• Round 1 - 21st March 2026
  • Intro and communication (15 minutes)
  • Shortlisting at end of the day
• Round 2 - 22nd March 2026
  • Problem/puzzle solving (30 minutes)
  • Shortlisting at end of the day

• Round 3 - 26th-27th March 2026 
  • Case study (60 minutes)

• Round 4 - 28th - 30th March 2026
  • Culture fit (20 minutes)
    

Final Shortlist/Offer announcement on 31st March 2026

Job Benefits: 

• World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
• Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
• Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
• 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.
• Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
• Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation allowance here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
• Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions and challenge each other to do those extra push ups or chug that 4^th drink (of course that’s Nimbu Pani)

Meet Sangram - (Cofounder and CTO) and hear his vision for Prodigal below (01:38)

About The Team

You’ll join Prodigal’s Strategy & Operations team, the consulting arm of the company. We partner with creditors in consumer finance (Banks, NBFCs & BNPLs and debt collection agencies) to transform how they engage with consumers using data-driven insights and AI-powered workflows. The team sits at the intersection of product, data science, and client operations: designing strategy, building execution pipelines, and running experiments that deliver measurable lifts in recoveries and channel performance.

Role Overview

As a Strategy & Operations Analyst, you will work with the team to execute and scale high-impact strategies and initiatives for clients. You’ll both build and scale: owning live AI based strategies, testing new ideas, identifying and solving client challenges, and driving strategic initiatives.

This is beyond a traditional consulting role where impact ends at strategic recommendations. Here, you will own strategies end-to-end, from design to live execution. You’ll have visibility over their direct, measurable impact on real business outcomes. You’ll operate in a high-growth environment with accelerated learning, full ownership, and continuous exposure to CXOs. The role also offers periodic travel to the US for client meetings and industry conferences, giving you on-ground global exposure.

This role is designed as a fast-growth pathway into a Strategy & Operations Lead position, based on performance, learning velocity, and leadership readiness.

Mode of work - 5 days in office

What makes you a good fit? 

You enjoy solving real-world problems and taking full ownership of outcomes, not just analyses. You combine structured thinking with execution discipline and are comfortable working in fast-moving, client-facing environments. You’re motivated by measurable impact, continuous learning, and early responsibility. 

Responsibilities

Strategy:

• Act as a strategic advisor and industry expert to the CXOs of the customers you manage. They will rely on you for advice on what’s best for their business
• Own end-to-end engagement strategy, defining strategies to drive improvements in collections & recoveries, self-serve usage, and consumer experience
• Design structured experimentation frameworks by crafting hypotheses, choosing success metrics, and analyzing results to continuously refine strategy and inform scalable best practices
• Partner with data science teams to shape and operationalize models (e.g., channel affinity, right-time-to-contact, offer logic), ensuring strategies correctly leverage behavioral patterns

Analytics and Operations:

• Develop insightful, scalable reports and dashboards to track key performance metrics and proactively track deviations, trends, and anomalies
• Lead the execution and monitoring of A/B tests to measure product improvements and optimize service delivery
• Continuously improve underlying processes and systems by designing structured experiments, analyzing results, and translating learnings into scalable improvements

Requirements

• Bachelor's degree in Engineering, Mathematics or a related field (Tier 1 college from 2025 batch preferred)
• Deep interest in consulting or product management
• Relevant data analytics experience
• Proficiency in Excel, Python, SQL, and Tableau/other BI tools is preferred
• Excellent communication skills (written and verbal), with the ability to clearly present findings to stakeholders and team members

Evaluation Process :

• Round 1
  • Intro and communication (15 minutes)
  • Problem/puzzle solving (30 minutes)
  • Case study (60 minutes)
• Round 2
  • Culture fit (20 minutes)
• Final Shortlist/Offer announcement

Job Benefits: 

• World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
• Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
• Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
• 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.
• Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
• Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation allowance here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
• Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions and challenge each other to do those extra push ups or chug that 4^th drink (of course that’s Nimbu Pani)

Meet Sangram - (Cofounder and CTO) and hear his vision for Prodigal below (01:38)

What You’ll Do

• Build and deploy LLM-powered AI agents (including voice agents) in production, designed for real-world use cases
• Own the end-to-end lifecycle of AI systems — from problem scoping and design to deployment, monitoring, and continuous iteration
• Design and optimize prompts, RAG pipelines, and evaluation frameworks to improve accuracy, latency, and reliability
• Work directly with customers and Implementation Managers (IMs) to understand workflows, solve real-world problems, and drive successful go-lives and iterations 

What We’re Looking For

• 1–3 years experience in backend / data / AI engineering
• Strong in Python + SQL
• Experience or exposure to LLMs, RAG, or prompt engineering
• High ownership, ability to work in ambiguity and ship fast
• Comfortable working with customers and cross-functional teams

Preferred Qualification

• B.Tech, BE, or M.Tech in Computer Science or a related discipline, with 1–3 years of relevant experience

Bonus

• Experience with production LLM systems / AI agents
• Familiarity with evaluation, agent tooling, or voice AI
• Experience with Databricks, MongoDB, or distributed systems
• Startup or customer-facing engineering experience

Why This Role

• Work on real production AI systems (not demos)
• End-to-end ownership and fast iteration cycles
• Direct impact on enterprise customers and business outcomes

Mode of Work - In-Office

About the Role

We're looking for an AI Engineer to join the proAgent pod and work on the systems that power our autonomous voice agents in live financial conversations. You'll work alongside a small, high-agency team where you will have real ownership over features and components from day one.

This is a hands-on engineering role. You'll be deep in the code — building agent logic, integrating speech models, tuning prompts, and debugging gnarly real-time issues. You don't need to have done all of this before, but you need to be the kind of engineer who figures things out fast, takes feedback well, and ships.

What You'll Do

Agent Loop & Reasoning

• Build and maintain components of the agentic runtime that powers multi-turn financial conversations — covering payment negotiations, compliance guardrails, and objection handling
• Implement context management logic that tracks consumer state, conversation history, and business rules across long, branching dialogues
• Write and iterate on primitives that balance conversational fluidity with structured reasoning — the agent needs to feel human while making verifiable decisions

Voice AI Systems

• Work on our real-time voice pipeline with a target of sub-1s latency across transcription, reasoning, and synthesis
• Contribute to VAD tuning and turn-taking logic that makes conversations feel natural
• Help evaluate and integrate speech models (STT, TTS, speech-to-speech) — we currently work with ElevenLabs and Cartesia for TTS, and Deepgram for STT, and are always exploring what's next
• Debug streaming audio and WebRTC issues in production

LLM Infrastructure

• Write and refine prompts, implement orchestration flows, and contribute to model routing logic
• Build components of our evaluation framework — helping measure agent quality across conversation quality, empathy, and compliance adherence
• Stay curious about new models and tools — flag opportunities and contribute to build-vs-integrate discussions

What You Bring

• 2 – 5 years of hands-on engineering experience, with good exposure to building or working with ML or AI systems in production.
• Solid Python fundamentals — you are comfortable writing clean, maintainable code and debugging production issues.
• Some experience working with LLMs: prompt engineering, API integrations, or building simple pipelines or agents.
• High bias for action — you don't wait to be told exactly what to do, and you push yourself to ship rather than over-engineer.
• Strong fundamentals in Python; familiarity with TypeScript is a plus.
• Eager to learn in a fast-moving environment, take ownership of your work, and ask good questions.

Even Better

• Exposure to voice AI: speech recognition, synthesis, or telephony systems — even if only through personal projects or coursework
• Any background or interest in fintech, lending, or collections
• You've tinkered with Twilio, LiveKit, ElevenLabs, or similar real-time infrastructure
• You've built a small agentic system — even a side project — that combines LLM reasoning with structured actions
• Familiarity with streaming protocols, WebRTC, or low-latency system design

Why This Role

• Real ownership from day one: proAgent is a small pod. You won't be a cog — you'll own components, ship features, and see your work in live consumer conversations within weeks.
• Frontier work: voice AI that reasons, decides, and acts is one of the hardest problems in applied AI. You'll be learning by doing on problems most engineers never touch.
• Strong mentorship: you'll work directly with senior engineers and the AI Lead who will invest in your growth — this is a place to level up fast.
• High leverage early career: the decisions you make and the code you write will impact millions of financial conversations. Rare for an early-career role.

About the Role

We're looking for an AI Lead to own the technical direction and team behind proAgent's core intelligence. You'll lead a small, high-agency pod building AI Agents that handle nuanced financial conversations — where every millisecond of latency, every reasoning decision, and every team member's growth matters.

This is a player-coach role with full pod accountability. You'll write code, define the AI architecture, set the technical bar, and directly manage and grow a team of AI engineers. The right person has been in the weeds of voice AI and LLM systems long enough to have strong opinions — and has led teams long enough to know how to bring others along.

What You'll Own

Pod Leadership & Team Building

• Lead and grow the proAgent AI pod — hiring, mentoring, and developing a team of AI engineers who own everything from agent reasoning to voice pipeline optimization.
• Set the technical bar for AI engineering at Prodigal: what rigorous experimentation looks like, what production-readiness means, and how the team should make build-vs-integrate decisions.
• Run sprint cycles, technical reviews, and roadmap planning — keep the pod shipping fast without losing architectural coherence.
• Work directly with the CTO and product leadership to translate company priorities into a pod-level AI roadmap with clear milestones and ownership.

Agent Loop & Reasoning

• Own the architectural direction of the agentic runtime that powers natural, multi-turn conversations while executing complex business logic — payment negotiations, compliance guardrails, objection handling.
• Set the design standards for primitives that balance conversational fluidity with structured reasoning: the agent needs to feel human while making verifiable decisions.
• Define how the pod builds context management systems that track consumer state, conversation history, and business rules across long, branching dialogues.
• Drive the evolution of agent reasoning as model capabilities and product requirements grow — stay ahead of what's possible and what the business needs.

Voice AI Systems

• Own the technical strategy for our real-time voice pipeline — sub-1s latency across transcription, reasoning, and synthesis is a hard requirement, not a goal.
• Set the direction for VAD tuning, turn-taking logic, and the standards that make conversations feel natural at scale.
• Lead evaluation and integration decisions for speech models (STT, TTS, speech-to-speech) as the landscape evolves — we currently work with ElevenLabs and Cartesia for TTS, and Deepgram for STT, and are always exploring what's next.
• Establish engineering practices for debugging and optimizing streaming audio and WebRTC across the pod.

LLM Infrastructure

• Own Prodigal's prompting, orchestration, and model routing strategy — set the standards for the pod.
• Lead the design of evaluation frameworks that measure agent quality beyond accuracy: conversation quality, empathy, compliance adherence, and business outcomes.
• Stay current on model capabilities and make pragmatic build-vs-integrate decisions that balance shipping speed with long-term architectural health.
• Institute red-teaming, adversarial testing, and behavioral evaluation practices before changes reach production.

What You Bring

• 7+ years building production grade engieering systems, with 2+ years leading an AI engineering team or pod with direct reports.
• Proven track record of owning AI product outcomes end-to-end — from problem definition and architecture through production and iteration.
• Hands-on experience with LLMs in production: prompt engineering, orchestration, evaluation, and fine-tuning.
• High bias for action — real-time systems get gnarly fast, and you have a track record of pushing things to production rather than perfecting in isolation
• Strong fundamentals in Python and TypeScript.
• Demonstrated ability to hire and grow strong AI engineers — you know what great looks like and can develop people toward it.
• Clear technical communication — you can explain complex tradeoffs and system behavior to engineers, product managers, and client stakeholders alike.

Even Better

• Deep experience with voice AI: speech recognition, synthesis, telephony systems, and the real-time constraints that come with them.
• Background in fintech, lending, or collections.
• Hands-on experience with Twilio, LiveKit, ElevenLabs, or similar real-time infrastructure.
• You've designed and shipped agentic systems that combine LLM reasoning with structured actions at production scale.
• Track record of building and scaling small, high-performing AI teams from the ground up.
• Experience in instituting evaluation, observability, and red-teaming practices across a team — not just for your own work.

Why This Role

• High leverage: proAgent is poised to handle millions of live consumer conversations every day. Your architectural decisions and the team you build directly determine business outcomes.
• Frontier work: voice AI that reasons, decides, and acts is one of the hardest problems in applied AI — add compliance, empathy, and financial stakes, and it gets harder. We're building it.
• Real ownership: small pod, big scope, full accountability. You will shape what proAgent's intelligence becomes, and the team that builds it.
• Executive partnership: You will work directly with the CTO and the founding leadership. The decisions you make in this role will define Prodigal's AI strategy for years.

We're seeking a Machine Learning Lead to join our team in building cutting-edge products that shape the future of consumer finance. As a member of our team, you will oversee complex technical problems, build new features, and improve existing products. Our teams are constantly pushing the boundaries of applied intelligence in consumer finance, and we're looking for passionate individuals who can help us advance us further. If you're interested in leading a world-class team of engineers and researchers to work on exciting projects that have a significant impact, we encourage you to apply.

Responsibilities:

• Partner with the CTO to drive the team's goals and technical direction to pursue opportunities that make the organization more efficient
• Effectively communicate complex features and systems in detail
• Understand industry & company-wide trends to help assess & develop new technologies
• Partner with the CTO to lead long-term technical vision and roadmap for Machine Learning and the entire organization
• Suggest, collect, and synthesize requirements and create an effective feature roadmap
• Design and develop Machine learning products and services leveraging AI (LLMs, Agentic AI, classical ML, the modern NLP stack, etc)
• Architect and implement data pipelines for ML model training. Lead scalable software systems development to deploy ML models into production systems, ensuring high performance and reliability.
• Stay updated on ML research and the ever-changing Gen AI landscape, identifying opportunities for innovation.
•  Effectively collaborate with cross-functional teams to deliver high-quality solutions on time. Guide team members in contributing to ML design discussions for new projects.

Requirements:

• Extensive experience, 5+ years in software development, with a focus on machine learning and data science in a tech company. 
• Proven track record of delivering high-quality ML products in a fast-paced, agile environment.
• Deep understanding of machine learning algorithms with hands-on experience in developing and deploying machine learning models at scale.
• Strong coding skills in Python. Familiarity with machine learning libraries such as PyTorch and sci-kit-learn. Experience with data manipulation and analysis tools like Pandas and Spark.
• Strong communication and leadership skills, with the ability to effectively collaborate with cross-functional teams and mentor junior engineers.

Preferred Qualifications:

• Experience with cloud services (AWS), Databricks, and building scalable, distributed systems.

Job Benefits 

• GenAI experience – Work directly in the innovative field of GenAI, shaping groundbreaking projects that redefine consumer finance intelligence.
• World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
• Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
• Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
• 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.
• Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
• 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.
• Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions, and challenge each other to do those extra push-ups or chug that 4th drink (of course, that’s Nimbu Pani).

Meet Sangram - (Cofounder and CTO) and hear his vision for Prodigal below (01:38)

About the Role

In this role you will be building recommendation systems to drive higher consumer engagement and improve performance metrics of debt collection campaigns. You would be required to wear the hat of a Data scientist to analyze patterns and convert those into model weights. In this role you will own the project end-to-end and hence we are looking for a curious and resilient DSML Engineer who thrives in a culture of experimentation and rapid iteration. Our ideal candidate doesn't just apply AI concepts – they're excited to push boundaries, challenge assumptions, and learn from both successes and failures. If you believe that the only true failure is not experimenting quickly, we want you on our team.

Key Responsibilities

• Embrace a "fail fast, learn faster" mentality, aiming for a 20-30% success rate in your ideas and experiments. Continuously optimize our experimentation process, making it faster, more efficient, and more insightful
• Apply AI concepts to solve business problems, with a focus on rapid prototyping and iterative improvement
• Leverage SQL and data manipulation tools to work with complex datasets, exploring unconventional approaches
• Apply statistical methods, machine learning algorithms, and data visualization techniques to perform exploratory data analysis, embracing unexpected insights
• Build and interpret models using tools like PySpark and ML-Flow, constantly testing new approaches and parameters
• Write clean, well-documented code that facilitates collaboration and hence faster iteration
• Continuously evaluate and enhance existing models, viewing each iteration as an opportunity to learn and improve

Technical Skills

• Proficiency in rapidly prototyping and testing ideas using large, complex datasets and SQL
• Expertise in implementing and iterating on machine learning models and algorithms, with a focus on quick experimentation cycles
• Strong programming skills in Python and/or SQL, with an emphasis on writing code that facilitates easy modification and testing
• Experience in leveraging data visualization techniques to quickly interpret and communicate experimental results
• Ability to swiftly deploy and iterate on AI solutions in cloud environments

Soft Skills

• Passionate about experimentation and embracing failure, viewing setbacks as valuable learning opportunities
• Excellent written and verbal communication skills, able to articulate the value of experimentation and rapid iteration to stakeholders
• Thrives in ambiguity and uncertainty, comfortable with the idea that most experiments will not succeed; also designing good experiments is a crucial part of the R&D process
• Skilled at analyzing problems from multiple angles and generating a high volume of potential solutions

Preferred Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Tier 1 colleges are preferred)
• Minimum of 2 years of hands-on experience in data analysis, modeling, and AI solutions development

If you're passionate about leveraging data to drive business decisions and have a track record of delivering impactful AI solutions, we want to hear from you!

Mode of Work - On-Site

Job Benefits 

• GenAI experience – Work directly in the innovative field of GenAI, shaping groundbreaking projects that redefine consumer finance intelligence.
• World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
• Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
• Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
• 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.
• Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
• 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.
• Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions and challenge each other to do those extra push ups or chug that 4th drink (of course that’s Nimbu Pani).

We are building PIE (Prodigal Intelligence Engine) - the specialized intelligence layer that transforms AI agents from conversational interfaces into truly intelligent decision-makers. 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. 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. The systems you build today become the backbone of tomorrow's agentic workforce.

What you'll do

• 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
• Partner with ML teams to build infrastructure that supports model training, inference, and continuous learning loops
• 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

• B.Tech./BE/M.Tech Equivalent in Computer Science or relevant education
• 4+ years architecting and building high-throughput, distributed data platforms that process millions of events daily
• 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
• 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
• Self-starter and self-learner, who never settles
• Comfortable working in a fast paced environment while continuously evaluating emerging technologies
• 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

• 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 

Mode of Work - In-Office (Powai, Mumbai)

What we offer

• GenAI experience – Work directly in the innovative field of GenAI, shaping groundbreaking projects that redefine consumer finance intelligence.
• World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
• Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
• Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
• 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.
• Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
• 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.
• Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions and challenge each other to do those extra push ups or chug that 4th drink (of course that’s Nimbu Pani).

Our Solutions

We are building vertical AI solutions that will fundamentally impact how the multi-trillion-dollar debt industry is managed. Our vision is driving revenues and payments for our customers by hyper personalizing consumer treatments using genAI. Our solutions automate lending operations for consumer finance companies across the lending value chain. 

About the Role

Prodigal is looking for a Mid-Market Account Executive (AE) to join our core sales team. We’re a small team and looking for someone with at least 2 years of Mid-Market Sales experience. We are looking for a self-starter with a passion for solving problems and delighting their customers. You will be working with a wide range of companies and have the opportunity to work on strategic, complex deals. You will learn value selling skills that will allow you to grow your career into any direction you want.

Location - Remote (~2 hour drive from Mountain View, CA so we can meet in person once a week)

What you'll do

• Build and maintain a robust sales pipeline by prospecting, qualifying leads, and managing opportunities through the sales funnel to close a quota of $800k+ annually.
• Establish and nurture strong relationships with potential and existing customers to understand their needs and align the company’s solutions effectively.
• Work closely with the leadership team to shape and execute sales strategies, helping to position the product and highlight its unique value propositions.
• Drive revenue growth by meeting and exceeding sales targets, contributing directly to the company’s financial success and market presence.
• Gather and share insights on customer needs, market trends, and competitive activity to influence product roadmap and company strategy.
• Identify areas for improvement within the sales process, develop playbooks, and establish scalable workflows for future team growth.
• Partner with marketing, customer success, and product teams to ensure a seamless customer experience and optimize end-to-end sales processes.
• Track sales metrics, report on progress to senior leadership, and provide feedback to refine and improve sales strategies and product offerings.
• Act as an ambassador for the company, consistently upholding its mission, values, and value propositions in all customer  interactions and industry events.

What you'll bring

• 3+ years in a full cycle sales role
• Strong discovery and interpersonal skills
• Excellent verbal and written communication skills
• High agency and unafraid to experiment and learn
• Ability to work on strategic and complex deals 
• Relentless pipeline generation, partnering with Marketing and Sales Development but also executing your own daily and weekly outreach through multiple channels
• Experience in consumer finance is a huge plus; understanding our buyers needs: customer service and collections within agencies, BPOs, automotive and healthcare revenue management businesses
• Located near Mountain View ~2 hour drive so we can meet once a week to brainstorm

The right candidate is someone who has a proven track record of success and is looking to further their career with a fast-growing startup. The ideal person will be both coachable, have a strong work ethic and entrepreneurial spirit.