he role focuses on finance data, RAG-based architectures, hallucination mitigation, and agentic AI systems deployed at scale.

You will work closely with Product, Data, and Platform teams to deliver reliable, explainable, and production-ready AI solutions.

Experience - 3 to 5 years relevant experience.

Location - Bengaluru (Hybrid)

Primary Skills - Python, Integrations,SQl, Snowflake

Secondary Skills - AWS, AIML

Responsibilities:

- Robust Data Engineering experience building scalable data pipelines using Python and modern data platforms
- Advanced Python skills for data processing, automation, AI/ML workflows, and pipeline development
- Strong SQL and DBT expertise for data modeling, transformation, and analytics engineering




- Hands-on experience in AI/ML model development, deployment, monitoring, and performance optimization
- Work with finance and enterprise datasets ensuring accuracy and governance
- Experience in Agent-to-Agent (A2A) architectures.

Technologies & Skills:

- Python, SQL, DBT
- Data: Snowflake, DBT, structured & unstructured data pipelines
- Cloud: AWS (Code Pipeline - S3, EC2, ECS, Lambda etc)
- Good to have:
- Agentic AI: LangGraph, LangChain, MCP, Agent-to-Agent (A2A) patterns
- LLMs: OpenAI (GPT-4/4.1), Anthropic

📌 Data Engineer (Bengaluru)
🏢 Applicantz
📍 Bengaluru