AI FULL STACK DEVELOPER

Job Title: AI FULL STACK DEVELOPER

Location: Boston, MA

Duration: 12 Months + Extension

Bill Rate: $96/hr

Job Type: W2 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

JOB SUMMARY

We are seeking a highly skilled Senior AI Full Stack Developer to design, develop, and deploy enterprise-grade AI applications, intelligent agents, and data-driven solutions. The ideal candidate will have strong hands-on experience with Generative AI, Agentic AI, Azure AI Foundry, Azure OpenAI, Python, RAG, Snowflake, APIs, and microservices.

The candidate will work closely with engineering, data, cloud, and product teams to build scalable AI solutions and take them from concept through production deployment.

KEY RESPONSIBILITIES

Design, develop, and deploy AI-powered enterprise applications and intelligent agent workflows.

Build RAG-based knowledge, search, document intelligence, and enterprise information solutions.

Develop scalable backend services, REST APIs, microservices, and enterprise integrations.

Build and integrate AI solutions with Azure cloud services, Snowflake, SQL, and enterprise data platforms.

Develop end-to-end AI data pipelines and intelligent workflows for production environments.

Implement Prompt Engineering, Agentic AI, and Generative AI capabilities.

Utilize AI orchestration frameworks such as LangChain, Semantic Kernel, and CrewAI.

Integrate AI applications with enterprise systems and business applications.

Develop, test, debug, optimize, and deploy production-ready applications.

Ensure AI solutions meet enterprise standards for security, scalability, reliability, observability, and maintainability.

Collaborate with cross-functional engineering, data, cloud, and product teams.

Troubleshoot application and AI workflow issues and continuously improve system performance.

MUST-HAVE SKILLS

Azure AI Foundry

Azure OpenAI

Generative AI / Agentic AI

RAG (Retrieval-Augmented Generation)

Prompt Engineering

Python

LangChain

Semantic Kernel

CrewAI

Snowflake

SQL

REST APIs

Microservices

Enterprise data integration

NICE-TO-HAVE SKILLS

Databricks

Snowflake Cortex / Cortex Agents

Vector Databases

Azure Machine Learning (Azure ML)

MLOps / Model Monitoring

React and/or Angular

AI Data Pipelines

Docker / Kubernetes

Azure DevOps / CI/CD

Experience with Manufacturing, Supply Chain, or Life Sciences domains

QUALIFICATIONS

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field.

5 10 years of professional software engineering experience.

2+ years of hands-on experience developing Generative AI, Agentic AI, or AI-powered enterprise applications.

Strong hands-on Python development experience.

Proven experience building and deploying production-grade AI applications.

Experience integrating AI solutions with cloud-based data platforms and enterprise systems.

Strong understanding of API design, microservices, software testing, debugging, and deployment.

Experience working in enterprise environments with distributed, cross-functional teams.

Equal opportunity employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.