AI Data Engineer

7 days ago

Bengaluru, Karnataka, India Zenalyst Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Company Description

At Zenalyst.AI, we are transforming financial decision-making by replacing outdated manual workflows with advanced AI solutions. Our platform offers CFO-grade intelligence instantly through our finance-native large language model, ZenFin-LLM, and the deterministic AI, ZenAgent, which delivers 100% accuracy and audit-readiness. Additionally, our knowledge graph engine, ZeHelix, unifies fragmented data, while ZenAPI provides seamless enterprise integration. We are building the infrastructure for the next decade of financial intelligence.

Role Description

This is a full-time on-site role for a Data Engineer / Data Scientist located in Bangalore Urban. The role involves designing and implementing financial LLM's, engaging in data modeling, assist in LLM Knowledge Graph, Vector and Graph storage developing data warehousing solutions, and conducting data analytics. The professional will work closely with other team members to ensure data-driven decisions, optimize data structures, and develop meaningful models.

What You'll Do:


• Build knowledge graphs connecting complex financial relationships across companies, markets, and regulations


• Design vector databases for intelligent retrieval of financial documents, reports, and market intelligence


• Create scalable ETL pipelines processing financial statements, regulatory filings, and real-time market data


• Generate embeddings from structured financial data, unstructured reports, and graph relationships


• Develop graph-based ML models for financial risk scoring, fraud detection, and investment recommendations


• Work with our Financial LLM to enhance contextual understanding of financial data

Strong data engineering experience (SQL, Spark/Databricks, ETL)

Hands-on with Knowledge Graphs (Neo4j, RDF/SPARQL, ontology design)

Vector Database expertise (FAISS, Pinecone, Weaviate, Milvus)

Experience with embeddings (text, structured data, graph nodes)

Graph algorithms & embeddings (node2vec, TransE, GNNs)

Python proficiency (pandas, PySpark, ML/NLP libraries)

Cloud platforms (AWS/GCP/Azure) & containerization (Docker/K8s)

Why
Work on cutting-edge Financial AI that impacts billion-dollar decisions

Join a fast-growing fintech startup with proven product-market fit

Direct collaboration with leading VCs, investment banks, and finance leaders

Build the future of AI-powered financial analysis and virtual analyst solutions

Competitive salary + equity in a high-growth AI fintech company

Our Mission:
To democratize sophisticated financial analysis through AI, making expert-level insights accessible to every financial professional.

Ready to transform the $340B+ fintech industry with AI? Let's build the future together

Apply: with your resume.

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