Sr AI Engineer
LocationHyderabad, Telangana, India
SenioritySenior
Company size4+ people
PostedSep 30, 2026 · 1w ago
Verified live19h ago
At a glanceSummarised by Seekless from the posting.
Design and build data ingestion pipelines into Databricks
Proficiency in PySpark
Proficiency in PySQL
Write scenario-based tests and edge cases
Discuss with stakeholders to finalize code changes and acceptance criteria
Understanding of Databricks Unity Catalog permissions model
Ability to use OBO tokens
Ability to configure Service Principals for Databricks Agents, Genie Spaces, Machine Learning, and Foundation Models
Knowledge of Databricks Apps
Ability to build and deploy Databricks Apps using Visual Studio Code
Ability to send custom notifications from Databricks using APIs to webhooks
Proficiency in FastAPI
Proficiency in React
Ability to build Single Page Applications using Chat UI interfaces
Ability to use Claude Models/APIs
Skills in prompt engineering (System Prompts, User Prompts)
Basic knowledge of Token Economics
Ability to use rule enforcement in prompts
Proficiency in standard NLP language
Ability to reengineer code and map to requirement specifications
Ability to use graphs to detect interdependencies between rules and circular references
Ability to use Claude Vision API
Understand and develop Retrieval Augmented Generation with Databricks AI Search indexes
Understand and implement Hierarchical Chunking
Knowledge of implementing AI safety guard rails
Understanding of various caching mechanisms
Ability to work with Claude Code
Ability to work with Genie
Skills
PySpark
PySQL
Databricks
Unity Catalog
Service Principals
Databricks Agents
Genie Spaces
Foundation Models
Databricks Apps
Visual Studio Code
FastAPI
React
Claude Models
Claude API
Claude Vision API
AI Search indexes
Claude Code
Genie
SAP
Databricks
1.
Design and build pipelines for ingesting data into Databricks from various sources like SAP, website scraping. Core technical skill will be PySpark and PySQL
2.
Write and do scenario-based testing, edge cases and discuss with the stake holders to finalize the necessary code changes and acceptance criteria.
3.
Understanding of the Databricks Unity Catalog permissions model and how to use OBO tokens and configure Service Principals for Databricks Agents,Genie Spaces, Machine Learning and Foundation Models.
4.
Knowledge of Databricks Apps. Ability to build and Deploy Databricks Apps using Visual Studio Code.
5.
Sending custom notifications from Databricks using APIs to custom Team Channel Webhooks
AI:
1.
Ability to use FastAPI /React front end and build minimal Single Page Applications(SPAs) using Chat UI interfaces and Claude Models/APIs
2.
Ability to use defined System Prompts, User Prompts etc…(i…e,) skills in prompt engineering.
3.
Basic Knowledge of Token Economics and ability use rule enforcement in prompts in addition to standard NLP language.
4.
Ability to reengineer code and see what it does and map it to the requirement specifications from users
5.
Ability to use Graphs to detect inter dependencies between rules and circular references.
6.
Ability to use both Claude Vision API in addition to standard text processing.
7.
Understand and develop Retrieval Augmented Generation specifically to Databricks like AI Search indexes, Hierarchical Chunking etc…
8.
Know how to implement basic guard rails related to AI safety
9.
Understand various caching mechanisms
Tools:
1.
Ability to work with Claude Code and Genie.
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