Dear candidate,

Please go through the below JD for better understanding of the role,

Job Description :

Role : Data Scientist (TL) / Senior Data Scientist (ATA)

Experience : 5 - 10 Years

Mode of work : Hybrid Model (3Days WFO)

Work Location : Bangalore

Job Description

- 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
- 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

Roles & Responsibilities

- Experience working with GenAI solutions using LLMs
- 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
- Proficiency in core Python libraries such as pandas and NumPy
- Experience with RAG pipeline design, LLM integration, and vector store management
- Experience with ML model building and comparative analysis
- Exposure to AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
- Experience with Hugging Face
- Understanding of NLP techniques such as text summarization, sentiment analysis, and Named Entity Recognition (NER)
- Hands-on experience building and deploying REST APIs and event-driven Python services
- Experience with ML Ops tooling, particularly Airflow
- Experience with observability tools such as Grafana, Arize, or similar
- Knowledge of enterprise AI infrastructure and best practices on AWS
- Familiarity with Kubernetes for containerized workload deployment and management
- Experience with enterprise integrations including SSO, Slack workflows, and embeddable UI development
- Experience with financial document parsing, data orchestration, and conversational AI interface development
- Experience designing, developing, deploying, and maintaining software in production environments
- Experience working in a Scrum/Agile workplace

Please check below link for organisation details, https://www.tavant.com/

If interested , please drop your resume to [email protected]

Regards

Dasari Krishna Gowri

Associate Manager - HR

www.tavant.com

📌 Agentic AI Engineer | Tavant | Bangalore (Bengaluru)
🏢 Tavant
📍 Bengaluru