Information Technology_USA - USA_Developer job in Jacksonville
Role details
Job location
Tech stack
Job description
&bull AI Development: Design and implement Generative AI applications using frameworks like LangChain, LlamaIndex, and LangGraph. &bull Agentic Solutions: Build autonomous and semi-autonomous AI agents using AutoGen or CrewAI to solve complex business logic. &bull Backend & APIs: Develop and maintain scalable REST APIs using FastAPI or Flask to serve AI models and services. &bull Data Architecture: Manage and optimize data retrieval using Elasticsearch, NoSQL databases, and Graph databases like Neo4j. &bull LLMOps & MLOps: Establish robust pipelines for model monitoring, evaluation, and deployment to ensure high performance and reliability. &bull Full-Stack Integration: Collaborate with front-end teams to integrate AI features into React/Node.js environments. Required Technical Skills: &bull Languages: Expert-level Python (strong hands-on coding) and advanced SQL. &bull Frameworks: LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.
Requirements
&bull AI/ML: Solid foundation in Machine Learning, Deep Learning, and LLM fine-tuning/prompt engineering. &bull Backend: Proven experience with FastAPI or Flask for production APIs. &bull Web: Familiarity with React and Node.js for full-stack AI integration. Qualifications: &bull Minimum 2+ years of experience as an AI Engineer or in a similar specialized Machine Learning role. &bull Proven track record of deploying LLM-based applications to production. &bull Strong understanding of vector embeddings, semantic search, and RAG architectures. &bull Experience with Cloud environments (AWS/GCP/Azure) and CI/CD for ML (MLOps).