Senior Full Stack AI Engineer

Job ID: SRJ_8423Posted: 2026-02-12Location: Tampa, FLSalary: USD 130-135 / Yearly (Full Time)Employment Type: Full TimeIndustry: Computer SoftwareClient: WiproContact: Meghana GorusuCompany: SRI Tech SolutionsRole: Senior Full Stack AI EngineerLocation: Tampa, FL (3 Days onsite/ week)Job Description:We are seeking a highly skilled and motivated AI Engineer with a strong focus on Generative AI and Natural Language Processing (NLP) to join our dynamic team.The ideal candidate will be instrumental in designing, developing, and deploying AI use cases that involve searching, summarizing, and creating themes from database and extensive and document repositories.This role requires a deep understanding of modern AI techniques, particularly those related to Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). This role will be responsible for writing code, pairing with other developers as appropriate, decomposing acceptance criteria to understand team backlog deliverables, complexities, and risk, while working as a strong contributor on an agile team.From a technical standpoint, the Software Engineer has full-stack coding and implementation responsibilities and adheres to best practice principles including modern cloud-based software development, agile and scrum, code quality, and tool usage.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 ensureaccurate and contextually relevant information retrieval.• Model Tuning and Optimization: Apply advanced GenAI tuning techniques such as QLORA, LORA, and PEFT to fine-tune pre-trained LLMs for specific use cases, optimizing for performance, efficiency, and accuracy.• Vector Search and Embeddings: Implement and optimize vector search capabilities and embedding pipelines to enhance the efficiency and relevance of document searches and information retrieval.• Prompt Engineering: Develop and refine prompts to maximize the performance and accuracy of language models.• Collaboration: Work closely with cross-functional teams, including product managers, AI model teams and other engineers, to understand business requirements and translate them into scalable AI/ML solutions.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 ApplicationDevelopment.• Multiple years of experience on Service Oriented and Microservices architectures, includingREST 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 applicationsusing Large Language Models.• Knowledge of vector search and embeddings: Hands-on experience with vector databases anddeveloping embedding pipelines.• RAG Concepts: Strong understanding and practical experience with Retrieval-AugmentedGeneration (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 contemporaryJavaScript frameworks (e.g., React), HTML5, and CSS.• Back-End Development: Solid experience in developing server-side logic and APIs using languagesPython, Java, or similar.• Database Expertise: Comprehensive knowledge of SQL and PL/SQL, with a deep understanding ofRelational Database Management Systems (RDBMS), particularly Oracle.• API Development: Proven capability in designing, developing, and implementing high-performanceRESTful APIs leveraging appropriate frameworks and technologies.• CI/CD and DevOps:• Proficiency with Continuous Integration/Continuous Deployment (CI/CD) pipelines and tools forbuilding (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 utilizingproject management tools such as JIRA.• Testing Automation: Ability to develop and automate comprehensive unit, integration, and end-to-endtests to ensure code quality.• Version Control: Solid understanding and practical experience with code versioning tools, includingGitHub EnterpriseSRI Tech Solutions is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national origin or citizenship status or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria.