Senior Data Scientist

Job Overview

We are seeking a Senior Agentic AI Engineer with 8+ years of experience to design, develop, deploy, and support production-grade AI solutions. The role focuses on building end-to-end agentic AI workflows and RAG pipelines using LangChain and LangFlow, developing Python-based AI services and microservices, implementing enterprise integrations, and deploying AI services on Kubernetes with high availability and operational observability.

The role also involves developing GenAI-powered financial document parsing solutions, conversational AI chatbots, data orchestration pipelines, MLOps pipelines, and ML model analysis and observability.

Key Responsibilities

• Design and develop end-to-end agentic AI workflows and RAG pipelines using LangChain and LangFlow.
• Build and maintain production-grade Python services and microservices exposing AI capabilities through REST APIs and event-driven interfaces.
• Develop reusable Python libraries and utilities for AI pipeline development, data transformations, and integration workflows.
• Build GenAI-powered financial document parsing solutions for extracting and analyzing accounting statements for audit and business insights.
• Develop data orchestration pipelines with master data propagation, quality validation, and freshness checks across downstream systems.
• Design conversational AI chatbots and self-service interfaces for internal users to query enterprise data, reports, and business processes.
• Create embeddable UI components that integrate AI capabilities into existing enterprise platforms.
• Implement enterprise integrations including SSO, Slack workflows, and LLM provider APIs across AWS Bedrock and related AWS AI services.
• Containerize and deploy Python-based AI services on Kubernetes with high availability and operational observability.
• Build, train, and run comparative analysis of ML models to select optimal approaches for business problems.
• Implement MLOps pipelines using Airflow and maintain model observability using Grafana, Arize, or similar tools.
• Write clean, well-documented, and testable Python code following unit testing, CI/CD, and code review standards.
• Provide ongoing support and maintenance for deployed AI models, pipelines, and services in production.
• Stay current with emerging trends in Generative AI and agentic frameworks to continuously enhance solution quality.