Senior AI/ML Engineer

Job Description

Role: Senior AI/ML Engineer

Industry: Fintech, AI

Location: Bangalore,

Experience: 5+ years

Compensation: 40LPA+ + ESOPs

About the company

The company is an early-stage, venture-backed, AI-first finance technology company redefining how high-volume businesses run their finance operations. Instead of stitching together legacy, manual tools, it is building an intelligent finance operating system that centralizes data, automates reconciliation, streamlines payouts and collections, and delivers real-time results

It is not another workflow toolit is crafting a deeply intelligent platform that feels intuitive and proactive. The machine-learning layer continuously consolidates multi-source financial data, flags anomalies and duplicates, predicts cash positions, and uncovers hidden revenue leakagesso finance teams can close faster, control better, and scale confidently.

Inspired by the personalization engines behind modern consumer platforms, the AI surfaces the right financial signals at the right moment, tailored to each businesss operating DNA. The result: fewer manual hours, tighter controls, and decisions powered by live, trustworthy data.

With strong backing from experienced operators and strategic investors across India and the United States, It is positioned to scale with disciplineinvesting in advanced AI, seamless integrations, and category-defining product quality.

Scope of growth :

- Build with ownership: Ship end-to-end, influence architecture, and directly move business metrics.
- Learn at the edge: Work with senior finance leaders and AI specialists on high-scale, real-world datasets.
- Move up fast: Transparent growth paths, leadership opportunities, and mentorship from day one.
- Customer-obsessed culture: Partner closely with users, iterate quickly, and see your impact in weeksnot quarters.

If youre excited to reinvent finance with applied AIand to help define the operating system modern finance teams rely oncome build with them.

Position Overview

As a Senior AI/ML Engineer you will be part of the founding engineering team to build high-performance, AI/GenAI capabilities that power reconciliation, document understanding, financial classification, and payment behavior intelligence for enterprise finance teams.

With deep GenAI and Applied ML expertise you would lead the AI charter end-to-end. You will shape the AI product roadmap, lead R&D, productionize GenAI/ML use cases, and build a world-class AI team. From custom RAG pipelines to fine-tuned LLMs to anomaly detection at scale, this role blends ML craftsmanship with product and system thinking.

This is a foundational role where your work will directly power financial automation, intelligent reconciliation, anomaly detection, and more.

Role & Responsibilities

Build: Architect and implement scalable AI/GenAI services and client/server workflows across reconciliation, document understanding, financial classification, and payment behavior intelligence.

- Ship APIs: Deliver reliable inference and data APIs (REST; GraphQL optional) for ML/LLM features and external integrations.
- Own data: Design feature stores and model data contracts; model and optimize relational (MySQL/PostgreSQL) and NoSQL (MongoDB) datasets for training, inference, and analytics.
- Raise the bar: Write clean, secure, and performant ML/LLM code; enforce reviews, reproducibility, versioning, and MLOps best practices.
- Test and tune: Build robust evaluation, A/B, and regression test suites; debug, profile, and optimize latency/throughput across environments and devices.
- Orchestrate: Deploy, monitor, and scale ML/ LLM pipelines with observability, retries, drift detection, automated retraining, and rollback/version control.
- Learn in the loop: Implement human-in-the-loop feedback to continuously learn from user actions and corrections; close the loop into model updates.
- Safeguard: Ensure data privacy, compliance, and explainability of AI outputs for financial-grade use cases.
- Lead: Hire, mentor, and grow an ML/GenAI team; set technical direction and raise engineering quality across the org.
- Collaborate: Partner with PM, Backend, Data, and DevOps to translate product problems into scalable ML systems and ship user-first features on time.
- Document: Keep architecture, experiments, and operational runbooks crisp and current.

Must - Have Criteria

- Experience: 5+ years of experience in AI/ML, with at least 12 years hands-on with LLMs and GenAI.
- ML/LLM: Strong knowledge of ML algorithms, NLP, transformers, vector search, embeddings, classification, and unsupervised learning.
- GenAI apps: Built and deployed applications in production using OpenAI APIs, HuggingFace, LangChain, or LlamaIndex.
- Stack/MLOps : Python; PyTorch/TensorFlow; scikit-learn, pandas; MLflow, Airflow (or equivalents).
- Fine-tuning : Hands on with LoRA/QLoRA/ PEFT) and prompt engineering for deterministic outputs.
- OCR/NLP: Solid with semi-structured document parsing and extraction pipelines.
- Data at scale: Comfortable with unstructured, noisy financial data and high-throughput workloads.

Nice to Have

- Familiarity with chunking strategies, prompt templates, and hybrid search (semantic + keyword) in RAG systems.
- Experience with enterprise SaaS or fintech domains (banking, reconciliation, ERP, accounting, compliance etc.).

What We Offer

- High ownership: Build core systems from the ground up with the CTO.
- Career velocity: Shape the architecture, influence roadmap, and grow into leadership.
- Real impact: Ship fast, see your work power critical business operations.
- Work with a founding team of repeat entrepreneurs and technology leaders backed by top-tier VCs.
- Enjoy autonomy, high velocity, a product-first culture, and global ambition.
- Receive competitive salary and ESOPs for meaningful ownership.

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