Location: Tampa, FL/Irving, TX
FTE
Join our pioneering team as a Full Stack AI Engineer and be at the forefront of building the next generation of intelligent AI powered products that redefine user experiences and solve complex business challenges. This pivotal role empowers you to own the entire solution stack from intuitive frontend interfaces to robust backend infrastructure and cutting edge agentic AI systems. You will play a critical role in designing, developing, and deploying high impact AI driven solutions driving engineering excellence and influencing our software architecture. We’re seeking a passionate problem solver who thrives in a collaborative agile environment dedicated to crafting innovative solutions and contributing to vibrant technical community.
Key Responsibilities
Pioneer Full Stack AI Application Development Design, develop, and deploy transformative end-to-end applications leveraging modern web frameworks React, Next.js, Fast API, Python, Java with Large Language Models (LLMs) at their core.
Architect Agentic AI Systems Lead the design and implementation of sophisticated autonomous agents capable of multistep reasoning, planning, and dynamic task execution using frameworks like LangChain, LangGraph, or AutoGen.
Innovate RAG Pipeline Design Architect and optimize production grade Retrieval Augmented Generation (RAG) pipelines focusing on advanced embedding strategies, efficient vector database management (Pinecone, Milvus, Chroma), and superior retrieval performance.
Build Scalable Backend API Integrations Develop highly performant asynchronous backend services that seamlessly integrate LLMs, external APIs, and tools ensuring exceptional reliability and ultralow latency.
Optimize Data Database Management Strategically manage structured and unstructured data overseeing both traditional SQL, NoSQL databases, and advanced vector databases to enable context aware and intelligent AI systems.
Champion Engineering Excellence Agile Delivery Drive best practices in code quality, unit testing, CI/CD, and security. Act as a strong contributor within an Agile software delivery team collaborating to achieve sprint goals and actively participating in the broader technical community and Agile Scrum processes.
Required Qualifications:
5 years of progressive professional software engineering experience with a minimum of 2 years dedicated to building and deploying AI powered solutions.
Expert proficiency in Python, Java, or Typescript JavaScript coupled with a profound understanding of Data Structures and Object Oriented Principles.
Extensive hands on experience with Large Language Models (LLMs) e.g. OpenAI GPT, Anthropic Claude, Gemini, Llama including finetuning techniques and advanced prompt engineering.
Proven expertise in designing and implementing RAG architectures encompassing embedding strategies, vector stores, and semantic search.
Deep experience with microservices designing and implementing RESTful, GraphQL, APIs and practical application of containerization technologies Docker, Kubernetes, OpenShift.
Demonstrated experience with modern web stacks React, Next.