AbouttheRole
Enable GenAI solutions through robust data pipelines and feature layers.
Key Responsibilities

- Design and build data pipelines
- Support feature extraction for LLM workloads
- Enable retrieval and context enrichment
- Ensure data quality, freshness, and lineage

Work Areas & Outcomes -

Data engineering, feature engineering, AI data enablement

Qualifications

- 4-6 years.

Role Proficiencies:

For successful execution of the job, the candidate should possess:

Capability & Skill Expectations -

- Hands-on data science skills applied to GenAI use cases, including model fine-tuning, prompt optimization, testing, and evaluation.
- Experience with LLMs, embeddings, retrieval, and agent-based architectures

Platform & Engineering Exposure -

- Experience applying COTS model-development and agent-development platforms to business use cases.
- Ability to integrate APIs, orchestration frameworks, vector databases, and enterprise data sources.

Observability & Evaluation Expectations -

Exposure to observability and evaluation for AI/agent-based apps, including prompt/version tracking, quality evaluation, latency and cost monitoring, hallucination analysis, and human-in-the-loop feedback.

📌 EAIG:AI Data Engineer (Mumbai)
🏢 Axis Bank
📍 Mumbai