Job Description

Job Title: Senior Full Stack Developer – AI Applications & LLM Platform

Location: Celebration, FL (Preferred: Orlando; Must be able to report onsite to Orlando, Anaheim, Glendale, or Seattle as needed)

Assignment Duration: Through April 25, 2026

Type: W-2 Contract (No C2C)

Overview

We are seeking a Senior Full Stack Developer to help shape the future of AI within a major enterprise. In this role, you will design and implement a scalable, unified API platform that abstracts large language models (LLMs) like OpenAI, Gemini, and AWS Bedrock—making them accessible across internal applications without direct fine-tuning.

This hands-on position combines full-stack development, LLM integration, cloud-native engineering, and agile delivery to build secure, scalable, and developer-friendly AI tools.

Key Responsibilities

AI Platform Development

• Architect and build full-stack applications that simplify access to LLMs for internal development teams.
• Develop a unified API layer to abstract multiple LLM providers (OpenAI, Gemini, Bedrock) with scalability and backward compatibility.
• Implement governance, analytics, and monitoring tools to ensure ethical AI usage and platform observability.
• Contribute reusable components like SDKs, libraries, and internal tools.

Technical Execution

• Optimize platform performance, latency, and cost across hybrid cloud environments (AWS, Azure, GCP).
• Create spike stories in Jupyter Notebooks to validate AI use cases.
• Write clear documentation, perform unit testing (e.g., Pytest), and lead peer code reviews.
• Support issue triage and implement long-term fixes and improvements.

Agile Delivery

• Participate in Agile ceremonies and contribute to sprint planning using Jira.
• Support continuous integration and deployment via Git, Nexus, PyPi, Harness, and Terraform.

Required Qualifications

• 10+ years of full-stack development experience with Python and RESTful APIs.
• 5+ years integrating AI/ML models and LLMs using tools such as OpenAI, Vertex AI, LangChain, or Semantic Kernel.
• Frontend skills using React, Angular, Node.js, TypeScript .
• Strong understanding of cloud platforms (AWS, Azure, GCP), Docker/Kubernetes , and CI/CD workflows.
• Hands-on experience with MongoDB, Snowflake, and vector databases .
• Familiarity with Git workflows (PRs, merging, forking) and DevOps tooling.
• Experience in enterprise Agile environments (Jira) and unit testing with Pytest.

Preferred Qualifications

• Experience building API platforms for enterprise use.
• Familiarity with LLMOps, including RAG, caching, and prompt engineering.
• Contributions to open-source projects related to AI/ML or developer platforms.
• Exposure to observability tools like OpenTelemetry, AppDynamics, or Splunk.
• UI/UX design experience is a plus.

Education

• Bachelor’s degree in Computer Science, Engineering, or related field—or equivalent professional experience.

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