Time since we first saw it
Day 4
Early. Similar jobs usually come down between day 6 and day 56.
From 13,630 similar postings that came down. Coming down is not always a hire.
EAIG:AI Data Engineer
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingEnable GenAI solutions through robust data pipelines and feature layers.
Design and build data pipelines
Support feature extraction for LLM workloads
Enable retrieval and context enrichment
Ensure data quality, freshness, and lineage
From the employer’s posting
Enable GenAI solutions through robust data pipelines and feature layers.
Design and build data pipelines
Support feature extraction for LLM workloads
Enable retrieval and context enrichment
Ensure data quality, freshness, and lineage
What you’ll bring
All qualificationsCore experience
- 4-6 years of experience
- Hands-on data science skills for GenAI use cases, including fine-tuning and prompt optimization
- Experience with LLMs, embeddings, retrieval, and agent-based architectures
- Ability to integrate APIs, orchestration frameworks, vector databases, and enterprise data sources
Qualification wording
Optimal qualification for success on the job is: 4-6 years.
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
Ability to integrate APIs, orchestration frameworks, vector databases, and enterprise data sources.
Posting record
Report an errorActively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 9, 20264 days ago
- Recorded sightings
- 2
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Oct 19, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Axis Bank is hiring
47 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 2% of open jobs were reposted
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.
Your next step
Complete your application on axisbank.ripplehire.com. The employer’s form will show what is required.
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Has Axis Bank posted this job before?
Yes. We’ve followed one other EAIG:AI Data Engineer job there since November 2026. It is still up.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
About the RoleEnable 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
QualificationsOptimal qualification for success on the job is:
- 4-6 years.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bangalore
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.