Senior AI/ML Software Developer

Senior AI/ML Software Developer Location: Austin, TX (Onsite) Position Type: Long-Term Contract Industry: Artificial Intelligence / Public Sector We 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 Responsibilities AI & Machine Learning Development Design, develop, and deploy production-ready AI and machine learning solutions Extend existing proof-of-concept applications into enterprise-scale platforms Build AI-powered applications supporting: plan review automation, digital delivery initiatives, roadway asset detection, engineering workflow automation, intelligent data processing Develop and optimize machine learning pipelines for production environments LLM & Generative AI Solutions Build and deploy: Retrieval-Augmented Generation (RAG) systems, prompt engineering solutions, fine-tuned LLM applications, AI copilots, and intelligent assistants Work with: Hugging Face, Ollama, GPT-style models, open-source LLM ecosystems Computer Vision & Analytics Develop computer vision solutions utilizing: PyTorch, TensorFlow, OpenCV, YOLO Implement: object detection, image segmentation, real-time inference solutions Support infrastructure and transportation-related image analytics initiatives Cloud, DevOps & MLOps Deploy and manage AI workloads across cloud platforms including: Azure AI Services, AWS SageMaker / Bedrock, Google Vertex AI, OCI AI Services Build and maintain CI/CD pipelines for AI application delivery Utilize: Docker, Kubernetes, Ansible, GitHub Actions, Azure DevOps, Jenkins Implement MLOps best practices using: MLflow, Kubeflow, Airflow, Weights & Biases Required Qualifications 8+ years of software engineering experience 8+ years of experience with: cloud platforms (AWS, Azure, GCP, OCI), CI/CD pipelines, Docker and Kubernetes, SQL and NoSQL databases, Bash and PowerShell scripting 3+ 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 training Experience deploying machine learning solutions serving real users in production environments Preferred Qualifications Experience 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, Dash Experience working in government or highly regulated environments Understanding of public sector security, compliance, and governance requirements Technical Environment Python, 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, Jenkins Work Environment Hybrid 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 operations Ideal Candidate Strong 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