DL
AI Engineer
Diverse Lynx India
Location not stated
2 months ago
- RAG
- LangChain
- LangGraph
- MCP
- AI/ML
- Machine Learning
- Azure
- REST API
- FastAPI
- AI
- Azure Databricks
- MLOps
- CI/CD
- Azure AI
- Databricks
- Python
- Natural Language Processing
- OpenAI
- Azure OpenAI
- Large Language Models
- Semantic Kernel
- AutoGen
- SQL
- Git
- Docker
- PySpark
- Apache Spark
- Kubernetes
- Azure DevOps
- GitHub Actions
- Azure Cloud
2 months ago
| Work location: 1. Abu Dhabi -Onsite (Can look for offshore resources who will be ready to relocate at Abu Dhabi) 2. Must have a valid Passport (Mandatory) Experience : 5+ years Notice period : 0- 30 days Mandatory : Good communication , should be from reputed companies , should be very strong RAG, LLM , Langchain, langgraph, MCP , Fast API Levels of Technical Interview : 3 levels Key Responsibilities Design, develop, and deploy AI/ML and Generative AI applications on Microsoft Azure. Build scalable REST APIs using FastAPI to expose AI and machine learning services. Develop and optimize data processing pipelines using Azure Databricks. Build and maintain end-to-end ML pipelines including data ingestion, model training, evaluation, deployment, and monitoring. Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and LLMs. Integrate AI services with enterprise applications through secure APIs. Optimize model performance, scalability, and inference latency. Collaborate with data engineers, architects, and business stakeholders to deliver AI-driven solutions. Follow MLOps best practices for CI/CD, model versioning, monitoring, and governance. Stay updated with the latest advancements in Azure AI, Databricks, LLMs, and Generative AI technologies. Required Skills Strong programming experience in Python. Hands-on experience with FastAPI for developing RESTful APIs. Strong experience with Azure Databricks for data engineering and machine learning workloads. Experience with Azure AI Services, Azure Machine Learning, and Azure Storage services. Strong understanding of Machine Learning, Deep Learning, NLP, and Generative AI. Experience working with OpenAI/Azure OpenAI Service and Large Language Models (LLMs). Experience building RAG architectures using vector databases. Knowledge of Prompt Engineering, embeddings, semantic search, and AI evaluation techniques. Experience with LangChain, Semantic Kernel, AutoGen, or similar AI orchestration frameworks. Good understanding of SQL, Spark, and distributed data processing. Experience with Git, Docker, and CI/CD pipelines. Familiarity with MLOps practices and model deployment. Preferred Qualifications Experience with PySpark and Apache Spark. Knowledge of Kubernetes and containerized deployments. Experience with Azure DevOps or GitHub Actions. Exposure to AI Agent frameworks and multi-agent architectures. Microsoft Azure certifications are an added advantage. Experience 5+ years of experience in Python application development. 5+ years of hands-on experience in Azure Databricks. 5+ years of experience building AI/ML or Generative AI applications. Experience in production deployment of AI solutions using FastAPI and Azure cloud services.
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AI Engineer · Diverse Lynx India