09/16/2026 updated
100 % available
Senior AI Full-Stack Engineer
Marquette, USA
Only remote
Bachelor of Science in Computer ScienceAbout me
Senior AI Engineer with 8+ years building production-grade AI and full-stack systems. Specialized in LLMs, RAG, AI agents, generative AI, Python, and scalable cloud architectures. I turn complex ideas into reliable, high-performance products.
AI AgentsRAGGitHub ActionsTailwind CSSGCPLangChainSupabaseAmazon Web ServicesDjangoPython (Programming Language)PostgreSQLMongoDBNumPyTensorFlowNext.js
- AI/LLM Engineering
Expertise in designing and deploying LLM-based architectures including RAG pipelines, AI agents, and generative workflows using LangChain, LangGraph, OpenAI, Claude, and Mistral. Proficiency in prompt engineering, multi-step reasoning, vector search, text classification, and summarization.
- Full-Stack Development
Strong command of Python and JavaScript/TypeScript for building production-grade full-stack systems. Frontend development with React, Next.js, and Tailwind CSS, combined with backend development using FastAPI, Django, and Express.js.
- Cloud & DevOps
Hands-on experience with AWS, GCP, Docker, GitHub Actions, Firebase, Supabase, and CI/CD pipelines. Proven ability to refactor async backend systems, implement caching, and optimize deployment workflows for faster and more reliable production releases.
- Database Management
Proficiency with vector and relational databases including Pinecone, ChromaDB, PostgreSQL, and MongoDB, supporting high-precision retrieval and scalable data architectures.
- Machine Learning Frameworks
Working knowledge of PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, Hugging Face, and AutoGen for building and deploying machine learning models.
- RAG Systems & Vector Search
Architecture of high-precision retrieval pipelines including embedding, filtering, and reranking using LlamaIndex and vector databases to improve semantic recall and answer accuracy.
- REST API & Microservices
Design and development of scalable REST APIs and microservices with modular architecture to support evolving AI and data needs with minimal technical debt.
- Data Engineering
Building data workflows, ingestion and indexing pipelines, and data integrations for large-scale systems using Pandas, NumPy, SQL, and REST APIs.
Experience
Professional experience5 - 10 years
Freelancer since2018
Languages
EnglishNative speaker
Project history
Developed LLM-powered automation that replaced manual review and decision steps, reducing operational workload by approximately 35%. Architected high-precision retrieval pipelines with embedding, filtering, and reranking to boost answer accuracy in live deployments. Designed multi-step AI agents coordinating tools, retrieval, and synthesis for complex user queries with zero human input. Refactored async backend systems, implemented caching, and optimized CI/CD pipelines. Operated as full lifecycle owner from experimentation to production rollout. Tech: Python, FastAPI, LangChain, LangGraph, OpenAI, Claude, Pinecone, AWS, CI/CD.
Delivered AI services for enterprise and government use, accelerating analysis of large regulatory datasets. Built ingestion and indexing pipelines with LlamaIndex and vector DBs to eliminate stale results and improve semantic recall. Developed scalable APIs with modular architecture to support evolving AI needs with minimal tech debt. Diagnosed and resolved real-world latency and stability issues across production workloads. Tech: Python, FastAPI, LlamaIndex, RAG Systems, Vector Search, PostgreSQL, GCP.
Developed and deployed AI-powered features for a healthcare platform, integrating GPT-based summarization and text classification into clinical and operational tools. Connected LLMs with backend services and intuitive frontend interfaces, enhancing data interpretation and decision support for healthcare professionals. Streamlined backend workflows and data preparation, accelerating iteration on patient-facing features. Collaborated with product and design teams to ensure AI outputs were transparent, user-friendly, and aligned with healthcare compliance standards. Tech: Python, React, Next.js, Tailwind CSS, GPT, MongoDB, REST APIs.