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.