Modus AI

Modus AI · Hiring · Bengaluru, India

AI Agents Engineer

Build the multi-agent intelligence layer for financial risk at India's most ambitious fintech AI company.

HSR Layout, BengaluruFull-Time · In-PersonTotal Experience: 2-4 years6-12 months professional AI Agents experienceFinTech · Risk · Fraud

The Role

We build AI for Risk Management teams at financial institutions across India. If you want to architect multi-agent orchestration systems, fine-tune LLMs for high-stakes domains, and deploy hardened on-prem AI into the infrastructure of India's biggest banks and fintechs, this is the job.

You'll own the full stack: from agent design and LLM fine-tuning to backend APIs, production deployment, and client outcomes.

What You'll Build

Multi-Agent Orchestration

Design and deploy orchestration frameworks for financial risk workflows: fraud detection pipelines, AML case escalation, and automated credit analysis.

LLM Fine-Tuning

Fine-tune and align open-source LLMs on proprietary financial datasets. Own data curation, LoRA/QLoRA training, RLHF, and evaluation.

On-Prem Enterprise Deployment

Package and ship AI systems into air-gapped or private-cloud environments inside banks. Keep systems secure and audit-ready.

RAG and Knowledge Systems

Build retrieval-augmented pipelines grounded in regulatory documents, transaction histories, and internal knowledge bases.

Backend APIs and Services

Build and maintain backend services that power agent workflows: REST and async APIs, data pipelines, and enterprise integrations.

Evaluation and Safety

Create eval suites for financial contexts: hallucination detection, output grounding, latency benchmarks, and guardrails.

Skills We're Looking For

Agent Frameworks

LangChain / LangGraphAutoGenCustom orchestrationTool use / function callingReAct / chain-of-thought

LLM Engineering

LoRA / QLoRA fine-tuningHugging Face TransformersRLHF / DPOvLLM / TGI / OllamaPrompt engineeringQuantization (GGUF, AWQ)

Backend Engineering

Python (FastAPI / Flask)REST and async APIsPostgreSQL / RedisMessage queues (Kafka / RabbitMQ)Basic auth and API security

RAG and Data

Vector DBs (Qdrant, Weaviate, PGVector)Embeddings and chunkingStructured + unstructured RAGSQL / graph DBs

Domain Bonus

Financial risk / AML / fraudGraph MLRegulatory / compliance AI

Our Culture

  • Extremely selective hiring with exceptional operators who raise your bar.
  • Product owners, not ticket-closers: own features end-to-end and speak to clients directly.
  • Full autonomy on tools, architecture, and execution.
  • Research that ships into production at India's largest financial institutions.

Compensation

RoleTotal ExperienceCash (Approx. Range)Equity
AI Agents Engineer2-3 yearsINR 15-30 LPAESOPs
Senior AI Agents Engineer3-4 yearsINR 30-40 LPAESOPs

About Modus AI

Founded in 2025, we work with India's largest financial institutions. Built by operators from Goldman, Apple Card, Uber, NSE, KPMG, and Niyo, Modus AI ships practical risk and compliance AI into production.