Senior AI Engineer - Databricks
adesso SE (company site, opens in a new tab)6–8 yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted 2d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop and deploy AI solutions on Databricks, transitioning projects from prototype to production including LLM-based applications, RAG pipelines, and AI agents.
- Build and orchestrate agent workflows using Databricks Mosaic AI Agent Framework or comparable frameworks like LangChain / LangGraph.
- Deploy, serve, evaluate and monitor AI models and agents using Databricks tools such as Model Serving and MLflow; ensure governance using Unity Catalog and integrate AI solutions with applications and APIs.
Minimum Requirements
- 6–8 years of software, data or ML engineering experience with hands-on Databricks experience.
- Practical experience specifically with Databricks Mosaic AI and Unity Catalog; Mosaic AI is a key mandatory skill.
- Strong proficiency in Python, good knowledge of SQL, and working knowledge of PySpark.
- Bachelor's or Master's degree in Computer Science, IT or a related field.
Ideal Candidate Profile
- Experience building production LLM applications, RAG pipelines, and AI agents using agent orchestration frameworks (e.g., LangChain, LangGraph, or Mosaic AI Agent Framework).
- Skilled with Databricks AI ecosystem tools including Vector Search, MLflow for model tracking/versioning, and Model Serving for deployment.
- Operates effectively in cross-functional teams working alongside data scientists and international clients, managing code in GitHub with CI/CD and MLOps/LLMOps best practices.