Specialist

Ampcus Inc. • Austin, TX

4h • Onsite

About The Position

A public-sector transportation agency is seeking a Software Developer Specialist to support AI-driven software development initiatives. The selected candidate will focus on engineering-related software services, including: Model ingestion and deployment, Automated quantity extraction, Plan conformance validation, CI/CD automation, and AI-powered transportation engineering solutions. The role involves transforming proof-of-concept AI models into scalable, production-ready web applications that support transportation engineering workflows. Responsibilities include developing secure, enterprise-grade web interfaces, integrating AI/ML solutions, and supporting digital delivery, roadway asset detection, and plan review automation initiatives.

Requirements

• Cloud & Infrastructure (8+ Years): AWS, Azure, GCP, or OCI. AI/ML cloud services such as Azure AI, AWS SageMaker/Bedrock, GCP Vertex AI, and OCI AI Services.
• DevOps & Automation (8+ Years): Docker, Kubernetes, Ansible. CI/CD tools such as Azure DevOps, GitHub Actions, Jenkins, or similar platforms.
• Databases (8+ Years): SQL databases (PostgreSQL, MySQL). NoSQL and vector databases.
• Scripting (8+ Years): Bash, PowerShell, Python
• Development (3+ Years): Production-level Python development experience.
• AI/ML & Data Science (3+ Years): NLP and LLMs (BERT, GPT, T5, RAG, fine-tuning, prompt engineering). Time-series forecasting and anomaly detection. Recommender systems and personalization engines. Computer vision using PyTorch, TensorFlow, OpenCV, YOLO, object detection, and segmentation. Distributed model training and multi-GPU environments. Feature engineering and feature stores (Feast, Tecton). Model optimization techniques including quantization, pruning, and knowledge distillation. Experience with Ollama, Hugging Face, or other open-source/non-frontier models.
• MLOps (3+ Years): MLflow, Weights & Biases, Kubeflow, Airflow or similar platforms.
• Production AI Experience (2+ Years): Successfully built and deployed ML models serving real-world users.

Nice To Haves

• GIS and geospatial data analysis experience.
• Transportation, logistics, or smart city domain experience.
• Computer vision applications for infrastructure or vehicle-related data.
• Public-sector security, compliance, and governance experience.
• Unreal Engine and digital twin technologies.
• Google Maps and Cesium API experience.
• Polygonflow Dash experience.

Responsibilities

• Develop and deploy scalable AI/ML-powered web applications.
• Build and maintain secure, enterprise-ready software solutions.
• Implement CI/CD pipelines and DevOps best practices.
• Integrate machine learning, computer vision, and LLM technologies into business workflows.
• Collaborate with engineering and technical teams to modernize transportation-related processes.
• Support cloud-based AI/ML infrastructure and production deployments.
• Optimize model performance and manage MLOps workflows.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed