Tavant Technologies - Agentic AI Engineer

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Job Description :

Role : DS(TL) / Senior DS (ATA)

Exp : 5 - 12 Years

Mode of work : Hybrid Model

Work Location : Bangalore

Role Overview :

This role primarily involves solving complex customer business problems through the development and deployment of agentic AI workflows, Python-based services, and conversational AI solutions.

Built on an enterprise-grade AI stack, this role requires :

- Proficiency with LangChain and LangFlow frameworks for building and testing Generative AI workflows and agentic pipelines

- Proficiency in Python for AI/ML development, microservice development, and automation

- Experience with RAG pipeline design, LLM integration, and vector store management

- Hands-on experience with building and deploying REST APIs and event-driven Python services

- Knowledge of enterprise AI infrastructure and best practices on AWS

- Experience with financial document parsing, data orchestration, and conversational AI interface development

- Familiarity with Kubernetes for containerized workload deployment and management

- Experience with enterprise integrations including SSO, Slack workflows, and embeddable UI development

- Good written and verbal communication skills to collaborate with cross-functional teams and present solutions to client stakeholders

Roles & 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 that accelerate 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

- 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