YOUR ROLE

- Design, develop and deploy AI solutions on Databricks – from LLM-based applications and RAG pipelines to AI agents – and take them from prototype to production.
- Build and orchestrate agent workflows using the Databricks Mosaic AI Agent Framework or frameworks such as Lang Chain / Lang Graph.
- Implement retrieval solutions with Databricks Vector Search, embeddings and well-structured knowledge sources.
- Deploy and serve models and agents with Databricks Model Serving, using MLflow for tracking, versioning and registry.
- Evaluate and monitor AI solutions for quality, accuracy, latency, cost and safety.
- Apply governance, access control and lineage to AI assets using Unity Catalog.
- Integrate AI solutions with applications and APIs, including apps hosted as Databricks Apps.
- Manage code in Git Hub and follow CI/CD, MLOps / LLMOps and documentation best practices.
- Work closely with data engineers, data scientists and stakeholders to translate business needs into AI solutions.

YOUR PROFILE





- 6–8 years of software, data or ML engineering experience, including hands-on Databricks experience.
- Practical experience with Databricks Mosaic AI and Unity Catalog – Mosaic AI is the key skill for this role.
- Strong Python and good SQL; working knowledge of PySpark.
- Hands-on experience building LLM applications, RAG and agents in production, using at least one agent / orchestration framework (e.g. Lang Chain / Lang Graph, Mosaic AI Agent Framework).
- Hands-on experience with MLflow, Databricks Vector Search and Model Serving.
- Experience with REST APIs and Git / Git Hub with CI/CD workflows.
- Experience of working alongside data scientists.
- Solid communication skills and the ability to work with international clients; very good English.
- Bachelor's or Master's degree in Computer Science, IT or a related field.

📌 Senior AI Engineer - Databricks (India)
🏢 Adesso
📍 India