Senior Full Stack AI/ML Engineer

Location: Moline, IL, 61265

Duration: 12 monthsW2 Contract (No C2C)

Pay rate: $70 - $75 per hour

Job Description: We are seeking a highly skilled Senior Full Stack AI/ML Engineer to design, develop, and deploy modern, scalable applications powered by artificial intelligence and machine learning technologies. The ideal candidate will have expertise across frontend and backend development, cloud-native architectures, data engineering, and generative AI solutions.

Key Responsibilities: Design and develop responsive web applications using React, Vite, HTML, and CSS.Build and maintain backend services and APIs using Python, FastAPI, and Rust. Develop and optimize large-scale data processing solutions using Databricks, Apache Spark, SQL, and MongoDB.Architect, deploy, and manage cloud-native applications on AWS, utilizing services such as EC2, S3, ECR, RDS, IAM, and VPC.Implement containerized and microservices-based solutions using Docker and Kubernetes. Establish and maintain CI/CD pipelines leveraging GitHub Actions, GitHub, and Terraform for infrastructure automation. Design and implement secure authentication and authorization solutions using SAML, OAuth 2.0, and OpenID Connect (OIDC).Develop and integrate advanced AI/ML solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), LangChain, and LangGraph. Collaborate with cross-functional teams to deliver scalable, secure, and high-performance applications. Ensure adherence to software engineering best practices, security standards, and cloud governance requirements.

Required Qualifications: 5+ years of experience in full stack software development and cloud-native application architecture. Strong proficiency in React, JavaScript/TypeScript, HTML, and CSS.Hands-on experience with Python, FastAPI, and preferably Rust. Expertise in Databricks, Apache Spark, SQL, and NoSQL databases such as MongoDB.Strong experience with AWS cloud services, infrastructure automation, and container orchestration. Experience building and deploying AI-powered applications using LLMs, RAG frameworks, LangChain, and LangGraph. Knowledge of modern security protocols including OAuth 2.0, OIDC, and SAML.Experience implementing CI/CD pipelines and Infrastructure as Code (IaC) using GitHub Actions and Terraform. Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications: Experience with enterprise-scale AI platform development. Knowledge of MLOps, model deployment, and AI governance frameworks. AWS certifications (Solutions Architect, Developer Associate, or Machine Learning Specialty).Experience optimizing large language model workflows and production-grade generative AI applications.