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Senior AI Full Stack Developer
Job Location:
Job Location:
Boston, NH - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
13 August 2026 (4 hours ago)
Posted:
Application Deadline:
10 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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.
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
Bachelors or Masters 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
Bachelors or Masters 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.
