
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.
With Regards,
Sai Yashwanth
IT Recruiter
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