Artificial Intelligence Engineer

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.