Senior Associate 1 – Data & GenAI Engineer
Location: Bangalore, IN
Experience: 3–5 years relevant industry experience

Why Work for Accuris
Accuris works on high-value, real-world data problems where reliability and correctness matter. You’ll build production-grade data and GenAI systems that power decision-support products used by global customers. This is not experimental AI — this is measurable, grounded, and scalable AI backed by robust data engineering.

Role Summary
You will design and own data pipelines and GenAI-driven services that transform messy enterprise data into high-quality datasets and production-ready product capabilities.
This role requires robust data engineering depth, with the ability to build and integrate backend APIs and contribute to frontend integrations when needed. You will work across data, application, and AI layers to ship scalable systems end-to-end.

What You’ll Do
Data Engineering
Design and own ETL/ELT pipelines (batch and streaming where required).
Drive Medallion architecture design (Bronze, Silver, Gold)



with clear data contracts and quality checks.
Build scalable transformations using Spark/Databricks with performance tuning. Implement data validation frameworks, monitoring, lineage, and observability.
Handle schema evolution, incremental loads, idempotency, and orchestration patterns. Collaborate with content and application teams to define reliable data models.

GenAI Engineering
Design and improve production RAG systems: ingestion, chunking strategy, embedding pipelines, indexing, retrieval optimization.
Work with vector search systems: filtering, hybrid search, ranking improvements. Optimize prompt templates for grounding, structured outputs, and cost efficiency. Define evaluation metrics for retrieval quality, hallucination reduction, and latency. Contribute to architecture decisions around AI services and integration patterns.

Backend s Full-Stack Contributions
Design and implement backend APIs (FastAPI or similar frame

📌 Data & GenAI Engineer (Bengaluru)
🏢 Accuris
📍 Bengaluru