Fulltime - Senior Full Stack AI Engineer

Role: Senior Full Stack AI Engineer

Location: Tampa, FL (3 Days onsite/ week)

Fulltime

Requirements:

Extensive Experience: Minimum of 5 years of proven software development experience.

Modern Application Development:

In-depth knowledge of modern application architecture principles.

Clear understanding of Data Structures and Object Oriented Principles

Practical experience with Artificial Intelligence (AI) tools for enhancing development workflows.

Proficiency in Microservices frameworks Event-Driven Services, and Cloud-Native Application

Development.

Multiple years of experience on Service Oriented and Microservices architectures, including

REST and GraphQL implementations

Strong Python Engineering: Expert-level proficiency in Python and relevant libraries (e.g.,

FastAPI, Pydantic, PyTorch, HuggingFace Ecosystem).

Experience with LLM-based pipelines: Proven experience in building and deploying applications

using Large Language Models.

Knowledge of vector search and embeddings: Hands-on experience with vector databases and

developing embedding pipelines.

RAG Concepts: Strong understanding and practical experience with Retrieval-Augmented

Generation (RAG) frameworks (e.g., LangChain, LlamaIndex).

GenAI Tuning: Experience with generative AI tuning techniques such as QLORA, LORA, and PEFT.

MCP Experience: Practical experience with Agentic Workflows, and Model Context Protocol

(MCP) for enhancing development workflows

NLP Expertise: Strong hands-on experience with NLP techniques such as text classification,

summarization, and topic modeling.

Full Stack Proficiency: Demonstrated ability to design, develop, and maintain both front-end and back-

end components of robust web applications.

Personal - Individual Use

Front-End Development: Strong expertise in developing intuitive user interfaces using contemporary

JavaScript frameworks (e.g., React), HTML5, and CSS.

Back-End Development: Solid experience in developing server-side logic and APIs using languages

Python, Java, or similar.

Database Expertise: Comprehensive knowledge of SQL and PL/SQL, with a deep understanding of

Relational Database Management Systems (RDBMS), particularly Oracle.

API Development: Proven capability in designing, developing, and implementing high-performance

RESTful APIs leveraging appropriate frameworks and technologies.

CI/CD and DevOps:

Proficiency with Continuous Integration/Continuous Deployment (CI/CD) pipelines and tools for

building (e.g., Maven, Gradle) and deploying code (e.g., Docker, Jenkins, OpenShift).

Experience with AWS is considered a significant advantage.

Agile Methodologies: Practical experience working within Agile development methodologies and utilizing

project management tools such as JIRA.

Testing Automation: Ability to develop and automate comprehensive unit, integration, and end-to-end

tests to ensure code quality.

Version Control: Solid understanding and practical experience with code versioning tools, including

GitHub Enterprise.