What are the responsibilities and job description for the Senior AI Full Stack Developer position at Purple Drive?
Seeking an experienced AI Full Stack Developer to design, develop, and deploy enterprise AI applications, intelligent agents, and data-driven solutions leveraging Generative AI, Azure AI services, and modern data platforms.
Key Responsibilities
• Build AI-powered applications and agentic workflows.
• Develop RAG-based knowledge, search, and document intelligence solutions.
• Design and develop backend services, APIs, and integration components.
• Integrate AI solutions with enterprise data platforms and business applications.
• Develop data pipelines and AI workflows.
• Deliver scalable, production-ready AI solutions.
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Must-Have Skills
1. Azure AI Foundry & Azure OpenAI
2. RAG, Vector Databases, Prompt Engineering & Agentic AI Frameworks (LangChain, Semantic Kernel, CrewAI)
3. Python
4. Snowflake, SQL & Data Integration
5. Enterprise API / Microservices Development
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Nice-to-Have Skills
• Databricks
• Snowflake Cortex / Cortex Agents
• Azure ML
• MLOps / Model Monitoring
• React/Angular
• Manufacturing, Supply Chain, or Life Sciences experience
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Experience
• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
• 5-10 years of software engineering experience.
• 2 years of hands-on experience building GenAI, Agentic AI, or AI-powered enterprise applications.
• Experience integrating AI solutions with cloud data platforms and enterprise systems.
Ideal Candidate
A hands-on AI engineer capable of independently building AI applications and intelligent agents using Azure AI Foundry, integrating with Snowflake-based data platforms, developing AI workflows and data pipelines, and taking solutions from design through production deployment.
Key Responsibilities
• Build AI-powered applications and agentic workflows.
• Develop RAG-based knowledge, search, and document intelligence solutions.
• Design and develop backend services, APIs, and integration components.
• Integrate AI solutions with enterprise data platforms and business applications.
• Develop data pipelines and AI workflows.
• Deliver scalable, production-ready AI solutions.
________________________________________
Must-Have Skills
1. Azure AI Foundry & Azure OpenAI
2. RAG, Vector Databases, Prompt Engineering & Agentic AI Frameworks (LangChain, Semantic Kernel, CrewAI)
3. Python
4. Snowflake, SQL & Data Integration
5. Enterprise API / Microservices Development
________________________________________
Nice-to-Have Skills
• Databricks
• Snowflake Cortex / Cortex Agents
• Azure ML
• MLOps / Model Monitoring
• React/Angular
• Manufacturing, Supply Chain, or Life Sciences experience
________________________________________
Experience
• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
• 5-10 years of software engineering experience.
• 2 years of hands-on experience building GenAI, Agentic AI, or AI-powered enterprise applications.
• Experience integrating AI solutions with cloud data platforms and enterprise systems.
Ideal Candidate
A hands-on AI engineer capable of independently building AI applications and intelligent agents using Azure AI Foundry, integrating with Snowflake-based data platforms, developing AI workflows and data pipelines, and taking solutions from design through production deployment.