Agentic AI Engineer

Position: Agentic AI- AI/ML Engineer

United States - Remote

Primary Responsibilities:

• AI/ML Development and Deployment:
• Architect and implement scalable ML solutions using Azure ML Studio and Azure Machine Learning services
• Fine-tune and deploy LLMs for enterprise-grade applications
• Design and build RAG pipelines leveraging Azure services and vector databases
• Develop and orchestrate multi-agent LLM systems for complex workflows
• Ensure robust model deployment, monitoring, and performance optimization in production environments
• Azure Platform Engineering:
• Leverage Azure services such as Azure Data Lake, Azure Synapse, Azure Blob Storage, and Azure Cognitive Search for data ingestion and processing
• Integrate AI models with Azure-based data pipelines and APIs
• Use Azure DevOps for CI/CD of ML workflows and model versioning
• Apply MLOps best practices for model governance, monitoring, and retraining
• Ensure compliance with data governance, privacy, and security standards in cloud environments
• Data Engineering and Processing:
• Build and maintain ETL/ELT pipelines for structured and unstructured data using Databricks and Apache Spark
• Prepare and transform structured and unstructured data using Python, PySpark, and SQL for training and inference
• Collaboration and Innovation:
• Collaborate with data scientists, product managers, and engineers to deliver AI-driven features
• Stay current with advancements in generative AI, LLMs, and Azure AI services
• Contribute to the continuous improvement of AI/ML pipelines and best practices

Required Qualifications:

• Experience:
• 5+ years of hands-on experience in AI/ML engineering with a focus on Azure
• Proven experience in deploying ML models using Azure ML Studio and Azure Machine Learning
• Experience working with LLMs, RAG systems, and AI agents
• Technical Skills:
• Experience with Databricks, Apache Spark, and Azure Data services
• Familiarity with MCP, Langchain, vector databases and embedding models
• Knowledge of Azure DevOps and CI/CD for ML workflows
• Proficiency in Python, SQL, LLMs and PySpark
• Soft Skills:
• Proven solid analytical and problem-solving skills
• Proven effective communication and collaboration with cross-functional teams

Demonstrated ability to translate business requirements into technical solutions

Sriram Chaganti

Sr. Talent Acquisition Specialist

E-mail:

Job Types: Full-time, Contract

Pay: $57, $69,659.20 per year

Work Location: In person