Job Description

About the Role

------------------


We are seeking an experienced

AI/ML Developer

to help build an intelligent, multi-agent financial operating system that simplifies bookkeeping, accounting, compliance, and financial advisory for businesses and individuals.


You will work closely with product designers, backend engineers, and domain experts to implement machine learning pipelines, intelligent agents, and LLM-based automation for core accounting and financial tasks.

Key Responsibilities

------------------------

Design and build

AI/ML models

for transaction classification, anomaly detection, and document understanding (OCR + NLP). Develop and deploy

multi-agent AI systems

using frameworks like LangGraph, CrewAI, or AutoGen. Implement

natural language processing (NLP)

pipelines for summarization, document extraction, and conversational interfaces. Integrate

LLMs and RAG pipelines

(Retrieval-Augmented Generation) for contextual responses and report generation. Optimize

cash flow prediction

, tax estimation, and financial forecasting models using supervised and time-series data. Collaborate with full-stack and DevOps teams to integrate models into the production environment (APIs, microservices). Apply prompt engineering, fine-tuning, and embedding techniques to adapt LLMs to specific financial domains. Continuously monitor and improve model accuracy, fairness, and performance using real-world data.

Required Skills

-------------------

Strong proficiency in

Python

,

PyTorch

or

TensorFlow

Hands-on experience with

NLP libraries

(spaCy, Hugging Face Transformers, Langchain) Experience with

multi-agent AI frameworks

(e.g., LangGraph, Microsoft AutoGen, CrewAI) Knowledge of

time-series forecasting

,

anomaly detection

, and

clustering

Experience building or fine-tuning

LLMs or embedding-based search (RAG)

Solid understanding of

ML lifecycle

- from data prep to deployment (MLFlow, FastAPI, Docker) Familiarity with

vector databases

(e.g., Pinecone, Weaviate, Qdrant) Experience working with

financial or transactional datasets

is a big plus

Preferred Qualifications

----------------------------

Experience in

fintech, accounting, or enterprise SaaS

Exposure to

prompt engineering

and

chatbot development

Knowledge of

data privacy

,

security

, and

compliance frameworks

Familiarity with

Git

,

CI/CD pipelines

,

cloud platforms

(AWS/GCP)

Bonus Points

----------------

Worked with

OCR tools

(Tesseract, AWS Textract, Google Document AI) Built conversational agents or copilot-style assistants Published ML/AI research or contributed to open-source AI projects

What You'll Gain

--------------------

Opportunity to work on a

next-generation AI-native fintech platform

Influence the

architecture and roadmap

of a cutting-edge AI product Collaborate with

multi-disciplinary teams

across product, design, and engineering Flexible remote work with a strong focus on innovation and learning

Job Type:

Full Time

Job Location:

Chennai

Experience:

1 - 3 years

Salary:

Best in Industry Standard