Job Description

Job Summary:

We are looking for an experienced

Backend Developer

to join our dynamic team and contribute to the development of a cutting-edge application that combines

AI-driven insights

,

multi-agent mechanisms

, and

real-time data analysis

. The application leverages

LangGraph

for a multi-agent system that interacts with

AWS Bedrock

to provide real-time responses to user queries from a corpus of

PDFs, Excel documents, MongoDB, and Databricks tables

. The system also generates actionable

recommendations

and

automated reports

to ensure compliance with the

ESG framework

.

The ideal candidate will have hands-on experience with

AI/ML models

,

cloud technologies

(primarily AWS), and an understanding of

multi-tenancy

and

compliance requirements

. You should be passionate about building robust, scalable backend systems that can process and analyze large datasets efficiently.

Key Responsibilities:

LangGraph Integration

: Develop and maintain the multi-agent mechanism using

LangGraph

for efficient interaction between agents and integration with

AWS Bedrock

to process and query datasets.

AI and Query Handling

: Implement AI models and

natural language processing (NLP)

systems that quickly and accurately respond to user queries within

60 seconds

using data from PDFs, Excel documents,

MongoDB

, and

Databricks tables

.

Data Ingestion & Storage

: Work with the

backend data pipeline

, ensuring seamless data extraction, transformation, and loading (ETL) into

MongoDB

and

Databricks

for dynamic analysis.

Risk Analysis & Recommendations

: Design and implement risk analysis algorithms that evaluate ESG-related data and generate

recommendations

on actions to improve the score based on an ESG compliance framework.

Real-time Data Processing

: Ensure that the system processes queries in real-time and can handle large-scale datasets efficiently.

Automated Report Generation

: Build automated reporting mechanisms that compile analysis and

recommendations

into comprehensive reports for the users.

API Design and Documentation

: Design RESTful APIs for the application, ensuring smooth integration between the backend, frontend, and other services (e.g., Databricks, MongoDB).

Scalability and Performance

: Focus on optimizing backend processes for

speed

,

scalability

, and

fault tolerance

, especially for queries against large datasets.

Compliance

: Ensure backend code and architecture meet ISO 27001, SOC2,

GDPR

, and other relevant

compliance standards

for security and data privacy.

Required Skills & Qualifications:

Programming Languages

: Expertise in

Python

(for backend development) and familiarity with JavaScript (for working in full-stack environments).

LangGraph and Multi-Agent Systems

: Experience with

LangGraph

or related frameworks for building

multi-agent mechanisms

.

AI/ML

: Knowledge of

machine learning models

,

NLP

, and

cloud-based AI services

(especially

AWS Bedrock

).

Databases

: Experience with

MongoDB

for document storage and

Databricks

for handling large-scale analytics.

Cloud Technologies

: Strong working knowledge of

AWS

, including services like

Lambda

,

S3

,

IAM

,

API Gateway

,

ECS

, and

Bedrock

.

API Development

: Strong experience with designing, developing, and documenting

RESTful APIs

(using

FastAPI

,

Flask

, or similar).

Real-Time Data Processing

: Experience in building applications that handle

real-time data processing

at scale.

Risk Analysis & ESG

: Familiarity with

ESG frameworks

,

risk management

, and

recommendations

for improving compliance scores.

Automated Reporting

: Experience building

automated reports

or dashboards based on data analysis.

Security & Compliance

: Knowledge of

ISO 27001

,

SOC2

,

GDPR

, and other compliance regulations in building secure, privacy-focused applications.

Version Control

: Proficiency with

Git

for version control and collaborating on codebase.

Preferred Skills:

AI Services Integration

: Experience with

AWS Bedrock

,

Amazon Comprehend

, or similar AI-driven services to automate data processing and analysis.

Containerization

: Familiarity with

Docker

,

Kubernetes

, or container orchestration for scalable deployments.

DevOps

: Experience with

CI/CD pipelines

,

Terraform

, and

AWS CloudFormation

for infrastructure as code.

Testing

: Strong experience in

unit testing

and

integration testing

of backend services, including the use of tools like

pytest

.

Qualifications:

Bachelor's or Master's degree

in

Computer Science

,

Engineering

, or a related field.

4+ years

of backend development experience with a focus on

AI-driven applications

and

cloud architecture

.

Experience in multi-agent systems

and

AI/ML

models is highly desirable. Proven track record of building

high-performance, scalable applications

in a

cloud-based environment

.
Job Types: Full-time, Permanent

Pay: ₹1,500,000.00 - ?2,000,000.00 per year

Benefits:

Health insurance Paid sick time Paid time off Provident Fund
Location Type:

In-person
Schedule:

Day shift Monday to Friday Morning shift
Work Location: In person

Speak with the employer

+91 8467947766
Expected Start Date: 30/06/2025