Senior AI Full Stack Engineer

Brent Oakes

Senior AI Full Stack Engineer

*************@*****.*** 432-***-**** Chicago, IL LinkedIn PROFILE

Senior AI Full Stack Engineer with 7+ years of experience building and shipping AI-powered products in fast-moving startup environments. Strong focus on LLM agents, real-time voice AI Agent, and Generative AI systems embedded directly into customer-facing SaaS platforms. Experienced across the full stack from React front-ends to low-latency AI back-ends translating ideas into scalable, production-ready features. SKILLS

LLMs & Generative AI — GPT-4/5, Claude, Llama, Generative AI (text/audio), RAG pipleline, Hugging Face Transformers, Prompt Engineering, Model Fine-Tuning Autonomous & Multimodal AI Agents — Task-Oriented AI Agents, Multimodal Agents (text, audio, structured data), Voice AI Agents (STT/TTS pipelines), LangChain, LLaMAIndex, LangGraph, LangSmith, Streaming Inference, Agent Orchestration Tools (Retell AI, VAPI)

Cloud & AI Infrastructure — AWS (SageMaker, Bedrock, ECS/EKS, Lambda, S3, RDS), GCP (Vertex AI, Pub/Sub), Azure

(OpenAI Services, Cognitive Services), Docker, Kubernetes, Serverless, CI/CD, Terraform Full Stack Engineering — JavaScript, TypeScript, React, Next.js, Node.js, ExpressJS, NestJS, Python, Django, Flask, FastAPI, RestAPI, GraphQL, Microservices, WebSockets Databases & Data Engineering — PostgreSQL, MySQL, MongoDB, Redis, DynamoDB, Supabase, Vector Databases

(FAISS, Pinecone), ELT pipelines, Streaming Inference Pipelines PROFESSIONAL EXPERIENCE

ELASTECH, Senior AI Engineer 07/2022 – 12/2025 Arlington Heights, IL

•Developed LLM-powered clinical decision support products embedded in a healthcare SaaS platform, enabling clinicians to retrieve medical policies, treatment guidelines, and historical case documentation via natural language.

•Built task-oriented and multimodal AI agents using VAPI, LangChain, LlamaIndex, GPT-4/5, Claude, FAISS, S3, and structured clinical metadata, allowing agents to reason across text, patient data, and policy documents.

•Designed and implemented Retrieval-Augmented Generation (RAG) systems over large-scale medical document corpora, significantly improving answer accuracy and reducing hallucinations.

•Engineered secure LLM inference and ML workflows using AWS Bedrock and AWS SageMaker for managed model hosting, embedding generation, experimentation, and HIPAA-compliant deployment.

•Built high-performance backend APIs using Python, FastAPI, AWS ECS/EKS, supporting 1,000+ concurrent AI inference requests with sub-300ms latency.

•Optimized GenAI infrastructure through Redis caching, request batching, streaming responses, and prompt optimization, reducing operational costs by 22%.

Grayphite, AI Full Stack Engineer 05/2020 – 06/2022 San Jose, CA

•Built AI powered text chatbots using GPT 3 and TypeScript that answered real estate property questions, generated listing summaries, and helped agents communicate, which increased client response rates and reduced support tickets.

•Designed and implemented end to end voice pipelines (speech text LLM speech) with near real time handling and fallback logic using streaming inference, delivering seamless voice interactions and lowering latency for users.

•Developed automated content generation systems for property descriptions, market insights, and agent email drafts, reducing manual content creation for users.

•Built backend orchestration services with Node.js, Python (FastAPI), and DynamoDB to manage prompt construction, conversation context, and AI response delivery, improving system reliability and scaling capacity.

•Integrated AI features into React/Next.js frontends, exposing chat and voice capabilities within the SaaS product, which boosted user adoption and expanded the platform’s interactive functionality.

•Containerized AI services with Docker and contributed to CI/CD pipelines, enabling rapid iteration and reliable deployment of AI-driven features.

Epic, Full Stack Developer 10/2018 – 04/2020 Madison, WI

•Developed production web applications using React and JavaScript, delivering internal dashboards and external- facing tools for hundreds of users.

•Built RESTful backend APIs with Node.js and Express, supporting critical business workflows and reporting features.

•Implemented secure authentication and authorization using JWT and OAuth, ensuring user data protection across platforms.

•Optimized database performance by improving MySQL and PostgreSQL queries and schemas, increasing query efficiency and reducing response times.

•Deployed applications on AWS (EC2, S3, RDS), supporting early cloud adoption and scalable application hosting.

•Troubleshot production issues and performance bottlenecks, maintaining 99.8% system uptime. EDUCATION

Trinity University, Bachelor's degree 08/2014 – 07/2018 San Antonio, TX Computer Science

Contact this candidate