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.

📌 Senior Data Scientist Bengaluru (India)
🏢 Otomeyt
📍 India