Senior AI Full Stack Developer

• Job Title: Senior AI Full Stack Developer
• Location: Boston, MA
• Duration: 6 months
• GBaMS ReqID: 10900647
• Experience Required: 5–10 years of software engineering experience
• Relevant AI Experience: 2+ years of hands-on experience with Generative AI, Agentic AI, or AI-powered enterprise applications

Overview

• Design, develop, and deploy enterprise AI applications, intelligent agents, and data-driven solutions.
• Leverage Generative AI, Azure AI services, and modern cloud data platforms.
• Develop scalable, secure, and production-ready AI solutions.
• Integrate AI capabilities with enterprise data platforms and business applications.

Key Responsibilities

• Build AI-powered applications and agentic workflows.
• Develop RAG-based knowledge, search, and document intelligence solutions.
• Design and develop backend services, APIs, microservices, and integration components.
• Integrate AI solutions with enterprise data platforms and business applications.
• Develop data pipelines and AI workflows.
• Build and deploy intelligent AI agents and enterprise copilots.
• Deliver scalable, reliable, and production-ready AI solutions.
• Take AI solutions from design and development through production deployment.

Must-Have Skills

• Strong hands-on experience with Azure AI Foundry and Azure OpenAI.
• Expertise in:
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases
  • Prompt Engineering
  • Agentic AI
• Experience with Agentic AI frameworks, including:
  • LangChain
  • Semantic Kernel
  • CrewAI
• Strong proficiency in Python.
• Strong experience with Snowflake and SQL.
• Experience with data integration and cloud data platforms.
• Strong enterprise API and microservices development experience.
• Experience integrating AI applications with enterprise systems.

Nice-to-Have Skills

• Databricks.
• Snowflake Cortex.
• Snowflake Cortex Agents.
• Azure Machine Learning (Azure ML).
• MLOps and model monitoring.
• React.
• Angular.
• Experience in Manufacturing.
• Experience in Supply Chain.
• Experience in Life Sciences.

AI & Generative AI Expertise

• Develop Generative AI applications using enterprise-grade LLM technologies.
• Build RAG pipelines using vector databases and enterprise knowledge sources.
• Develop and optimize prompts for LLM-based applications.
• Build agentic workflows using LangChain, Semantic Kernel, CrewAI, or similar frameworks.
• Integrate Azure OpenAI models into enterprise applications.
• Develop AI-powered knowledge management, search, and document intelligence solutions.
• Implement AI workflows that integrate with enterprise data and business processes.

Data Engineering & Integration

• Develop scalable data pipelines to support AI and analytics workloads.
• Integrate AI solutions with Snowflake-based data platforms.
• Write optimized SQL queries for enterprise data processing.
• Perform data extraction, transformation, and integration.
• Work with structured and unstructured enterprise data.
• Build AI-ready datasets and data workflows.
• Integrate enterprise data sources with AI applications and services.

API & Backend Development

• Design and develop enterprise-grade backend services.
• Build REST APIs and microservices for AI applications.
• Develop integration components between AI services and enterprise applications.
• Implement scalable and secure API architectures.
• Ensure reliability, performance, and maintainability of backend services.

Education & Experience

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 5–10 years of software engineering experience.
• 2+ years of hands-on experience building:
  • Generative AI applications
  • Agentic AI solutions
  • AI-powered enterprise applications
• Experience integrating AI solutions with cloud data platforms and enterprise systems.
• Strong software engineering and problem-solving skills.

Ideal Candidate

• Hands-on AI engineer capable of independently building AI applications and intelligent agents.
• Strong experience with Azure AI Foundry and Azure OpenAI.
• Experienced in integrating AI solutions with Snowflake-based data platforms.
• Capable of developing RAG pipelines, agentic workflows, AI applications, and data pipelines.
• Strong backend, API, microservices, and cloud integration experience.
• Able to take AI solutions from architecture and design through development, testing, and production deployment.
• Strong ability to deliver scalable, secure, and production-ready enterprise AI solutions.