We are looking for a

Senior AI Engineer with strong hands-on experience in

Microsoft Azure AI Foundry, Generative AI, RAG, AI Agents, and Databricks

. The ideal candidate will be responsible for designing, developing, deploying, and troubleshooting enterprise-grade AI solutions.

Key Responsibilities

- Design and develop

GenAI, RAG, and AI Agent solutions using

Azure AI Foundry and Azure OpenAI

.

- Configure Foundry projects, models, Agents, tools, knowledge sources, memory, and integrations.

- Implement and troubleshoot

Agent tracing, backend tracing, observability, and monitoring

.

- Build RAG pipelines using

Azure AI Search, vector, semantic, and hybrid search

.

- Implement

AI evaluations

, including groundedness, relevance, and response quality.

- Design and configure

AI guardrails and safety controls

.

- Work with

Azure AI Document Intelligence and other Azure AI services.

- Develop scalable AI backends and APIs using

Python

.

- Build and troubleshoot AI/ML solutions using

Azure Databricks

.

- Work with

Databricks Agent Bricks, Genie, MLflow, and MLflow Tracing

.

- Manage AI/data governance using

Databricks Unity Catalog

,



including permissions and attribute-based access control.

- Troubleshoot production issues across Agents, RAG pipelines, Databricks jobs, models, and APIs.

Required Skills

- 7+ years of experience in AI/ML, GenAI, software engineering, or related areas.

- Strong hands-on experience with

Azure AI Foundry and Azure OpenAI

.

- Experience building

AI Agents and RAG applications

.

- Strong knowledge of

AI tracing, evaluation, groundedness, and guardrails

.

- Strong Python development and API integration experience.

- Experience with

Azure AI Search and Document Intelligence

.

- Hands-on experience with

Azure Databricks, MLflow, and Unity Catalog

.

- Understanding of semantic, vector, and hybrid search

.

- Strong troubleshooting and problem-solving skills.

Valuable to Have

- Experience with

Databricks Agent Bricks and Genie

.

- Experience with Agent memory and enterprise AI governance.

- Knowledge of

LangChain, Semantic Kernel, Azure ML, or MLOps

.

- Experience with CI/CD and production AI deployments.

📌 Senior AI Engineer – Azure AI Foundry & Databricks (Bengaluru)
🏢 Apidel Technologies
📍 Bengaluru