FULLTIME JOB: Fullstack AI Engineer

FULLTIME JOB OPENING

Role: Senior Full Stack AI Engineer

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

Responsibilities:

• Apply depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with stakeholders on a regular basis

• Develop and engineer solutions within an Agile software delivery team, working to collaboratively deliver sprint goals, write code, and participate in the broader technical community and team-level Agile and Scrum processes.

• Contribute to the design, documentation, and development of world-class enterprise applications leveraging the latest technologies and software design patterns.

• Leverage technical knowledge of concepts and procedures within own area and basic knowledge of other areas to resolve issues, as necessary.

• Design and Development: Lead the design and implementation of end-to-end AI/ML pipelines for document understanding, summarization, and theme extraction. This includes data preprocessing, feature engineering, model training, evaluation, and deployment.

• Generative AI Application: Develop and optimize LLM-based solutions for text summarization, content generation, and knowledge extraction from structured/unstructured data.

• RAG System Implementation: Build and maintain robust Retrieval-Augmented Generation (RAG) pipelines, leveraging vector databases and advanced indexing strategies to ensure

accurate and contextually relevant information retrieval.

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.