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.
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