Bengaluru Karnataka Collection agent Jobs – 151 Open Jobs Today

Applied AI Engineer
Prodigal —Bengaluru, Karnataka
- System design
- Master's degree
- APIs
Quick apply
Sr Functional Consultant - JD Edwards Finance
JB Poindexter (India) Private Limited —Bengaluru, Karnataka
- Finance
- SQL
- Bachelor's degree
Quick apply
Senior Full-Stack Engineer - Cogentiq I2C
Fractal Analytics —Bengaluru, Karnataka
- Full-time
- Azure
- Master's degree
- SQL
Sr. SW Engineer (Python, GenAI, 4+ years' experience)
Visa Consolidated Support Services (India) Private Limited - Tech Unit —Bengaluru, Karnataka
- Full-time
- Software troubleshooting
- System design
- Master's degree
Quick apply
Sr. Staff Engineer
Automation Anywhere —Bengaluru, Karnataka
- Email
- Azure
- Computer Science
- Java
1d
IT Assets Management (Hardware +Software) SME
Information Services Group —Bengaluru, Karnataka
- Full-time
- Microsoft Excel
- Oracle
Sr JDE Finance Functional Consultant
JB Poindexter (India) Private Limited —Bengaluru, Karnataka
- Finance
- SQL
- Bachelor's degree
Quick apply
Senior Software Engineer (Agentic AI)
Aspero —Bengaluru, Karnataka
- Full-time
- Java
- Master's degree
- Databases
Senior Software Engineer - Observability
Databricks —Bengaluru, Karnataka
- Computer Science
- B.Sc
- Java
Senior Software Engineering Manager - Manufacturing Intelligence, Agentic Systems & Physical AI
Apple —Bengaluru, Karnataka
- Computer Science
- Java
- Master's degree
Staff AI Engineer - Servicing Enablement Platform
American Express —Bengaluru, Karnataka
- Full-time
- Computer Science
- AWS
- APIs
Senior / Lead Platform Forward Deployed Engineer - Cogentiq I2C
Fractal Analytics —Bengaluru, Karnataka
- Full-time
- Azure
- Master's degree
- SQL
10d
Software Engineer - Microsoft Power Platform Developer
Kyndryl —Bengaluru, Karnataka
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
Sr. Software Engineer - Observability
Databricks —Bengaluru, Karnataka
- Computer Science
- B.Sc
- Java
Robot Learning Engineer
Origin —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- B.Sc
Quick apply
Sr Software Development Engineer
UKG (Ultimate Kronos Group) —Bengaluru, Karnataka
- Azure
- DevOps
- Java
7d
Sr Mgr, IT Data Solution Architect
Vantive —Bengaluru, Karnataka
- Master's degree
- Bachelor's degree
- Organisational skills
System Performance Test Engineer (AI, Automation)
Hewlett Packard Enterprise —Bengaluru, Karnataka
- Full-time
- Computer Science
- DevOps
- Bachelor's degree
Global Subchapter Lead – Service Platform Engineering
Takeda Pharmaceutical —Bengaluru, Karnataka
- Full-time
- DevOps
- English
- Bachelor's degree
- Health insurance
- Cell phone reimbursement
Software Engineering Manager
Takeda Pharmaceutical —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- AWS
- Health insurance
- Cell phone reimbursement

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Applied AI Engineer

Prodigal -
Bengaluru, Karnataka

Quick apply

Job details

Qualifications

Law
System design
Master's degree
APIs
AI
TypeScript
Python
Debugging

Full job description

About Prodigal

Prodigal is the connected AI platform leading financial institutions use to run their operations.

We work with banks, lenders, credit unions, and other financial companies that lend money to people and manage those relationships over time.

These institutions make millions of high-stakes decisions every day. Who should they reach? When should they reach them? What should they say or offer? When should a case move to a human? How should that change based on the borrower, the account, previous interactions, and the regulations involved?

Getting those decisions right requires a deep understanding of the people, processes, rules, and edge cases behind them.

Prodigal has spent the last eight years building that understanding. More than a billion interactions between financial institutions and their customers have shaped the intelligence, guardrails, and AI agents we now run in production across North America.

Today, our AI agents analyze conversations, capture context, guide human agents, decide the next action, conduct customer conversations, orchestrate outreach, and help people complete payments and resolutions. They are connected, so what is learned in one interaction can inform what happens next.

We are expanding this swarm of AI agents across more of the work financial institutions do: originations, document processing, back-office workflows, servicing, and other critical operations where money, identity, people, and regulation intersect.

We are backed by Y Combinator, Accel, and Menlo Ventures, and work with 100+ financial institutions across North America.

About the Role

We're looking for an AI Engineer to join the proAgent team 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 (TL;DR version)

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: The Applied AI team behind proAgent is small in size, high in talent density. 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.

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/

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collection agent jobs in bengaluru karnataka

Applied AI Engineer

Sr Functional Consultant - JD Edwards Finance

Senior Full-Stack Engineer - Cogentiq I2C

Sr. SW Engineer (Python, GenAI, 4+ years' experience)

Sr. Staff Engineer

IT Assets Management (Hardware +Software) SME

Sr JDE Finance Functional Consultant

Senior Software Engineer (Agentic AI)

Senior Software Engineer - Observability

Senior Software Engineering Manager - Manufacturing Intelligence, Agentic Systems & Physical AI

Staff AI Engineer - Servicing Enablement Platform

Senior / Lead Platform Forward Deployed Engineer - Cogentiq I2C

Software Engineer - Microsoft Power Platform Developer

Sr. Software Engineer - Observability

Robot Learning Engineer

Sr Software Development Engineer

Sr Mgr, IT Data Solution Architect

System Performance Test Engineer (AI, Automation)

Global Subchapter Lead – Service Platform Engineering

Software Engineering Manager

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