Senior AI/ML Software Developer

Senior AI/ML Software DeveloperLocation: Austin, TX (Onsite) Position Type: Long-Term Contract Industry: Artificial Intelligence / Public SectorWe are seeking an experienced Senior AI/ML Software Developer to support cutting-edge artificial intelligence initiatives focused on transportation engineering, digital delivery, automation, and infrastructure modernization. This role will transform existing AI proof-of-concepts into scalable, enterprise-grade applications that support engineering workflows such as automated quantity extraction, plan review automation, asset detection, model ingestion, digital twins, and intelligent decision support systems. The ideal candidate combines strong software engineering expertise with hands-on AI/ML experience and a passion for building production-ready applications that deliver real-world impact.Key ResponsibilitiesAI & Machine Learning DevelopmentDesign, develop, and deploy production-ready AI and machine learning solutionsExtend existing proof-of-concept applications into enterprise-scale platformsBuild AI-powered applications supporting: plan review automation, digital delivery initiatives, roadway asset detection, engineering workflow automation, intelligent data processingDevelop and optimize machine learning pipelines for production environmentsLLM & Generative AI SolutionsBuild and deploy: Retrieval-Augmented Generation (RAG) systems, prompt engineering solutions, fine-tuned LLM applications, AI copilots, and intelligent assistantsWork with: Hugging Face, Ollama, GPT-style models, open-source LLM ecosystemsComputer Vision & AnalyticsDevelop computer vision solutions utilizing: PyTorch, TensorFlow, OpenCV, YOLOImplement: object detection, image segmentation, real-time inference solutionsSupport infrastructure and transportation-related image analytics initiativesCloud, DevOps & MLOpsDeploy and manage AI workloads across cloud platforms including: Azure AI Services, AWS SageMaker / Bedrock, Google Vertex AI, OCI AI ServicesBuild and maintain CI/CD pipelines for AI application deliveryUtilize: Docker, Kubernetes, Ansible, GitHub Actions, Azure DevOps, JenkinsImplement MLOps best practices using: MLflow, Kubeflow, Airflow, Weights & BiasesRequired Qualifications8+ years of software engineering experience8+ years of experience with: cloud platforms (AWS, Azure, GCP, OCI), CI/CD pipelines, Docker and Kubernetes, SQL and NoSQL databases, Bash and PowerShell scripting3+ years of production experience with: Python, AI/ML model development and deployment, NLP and Large Language Models (LLMs), Computer Vision, Time Series Modeling, Recommender Systems, MLOps platforms, Distributed model trainingExperience deploying machine learning solutions serving real users in production environmentsPreferred QualificationsExperience with: GIS and geospatial data analysis, transportation, logistics, or smart city technologies, infrastructure asset management systems, digital twin technologies, Unreal Engine, Google Maps APIs, Cesium, Polygonflow, DashExperience working in government or highly regulated environmentsUnderstanding of public sector security, compliance, and governance requirementsTechnical EnvironmentPython, Azure AI, AWS SageMaker, AWS Bedrock, Google Vertex AI, OCI AI Services, Hugging Face, Ollama, PyTorch, TensorFlow, OpenCV, YOLO, Kubernetes, Docker, MLflow, Kubeflow, Airflow, PostgreSQL, MySQL, Vector Databases, GitHub Actions, Azure DevOps, JenkinsWork EnvironmentHybrid schedule Minimum 4 days onsite in Austin, TX Standard business hours with occasional evening or weekend support as needed Opportunity to work on innovative AI initiatives impacting statewide transportation operationsIdeal CandidateStrong software engineer with deep AI/ML expertise Passionate about turning prototypes into scalable enterprise solutions Experienced building production AI systems, not just research models Comfortable collaborating with engineers, architects, and business stakeholders Excited about applying AI to solve real-world infrastructure and transportation challenges