Senior Software Developer (Contractor) RITM1788244

RE/SPEC Inc. • Austin, TX

8d • Hybrid

About The Position

RESPEC is seeking an experienced Software Developer Specialist to support a major transportation technology initiative for our government client in Austin, Texas. This role focuses on designing, developing, deploying, and optimizing advanced Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision, and cloud-based solutions that support large-scale operational and business objectives. The ideal candidate will bring deep expertise across AI/ML engineering, cloud platforms, MLOps, DevOps, and production-grade software development while collaborating with technical and business stakeholders in a highly visible public-sector environment.

Requirements

• 8+ Years of Experience Required: Cloud Platforms & AI Infrastructure (AWS, Microsoft Azure, Google Cloud Platform (GCP), or Oracle Cloud Infrastructure (OCI), Deploying and managing machine learning workloads in cloud environments, Utilizing AI/ML services across major cloud providers)
• 8+ Years of Experience Required: DevOps & Platform Engineering (Ansible, Docker, Kubernetes, CI/CD implementation and automation)
• 8+ Years of Experience Required: Database Technologies (SQL databases including PostgreSQL and MySQL, NoSQL databases, Vector databases)
• 8+ Years of Experience Required: Automation & Scripting (Bash scripting, PowerShell scripting)
• 8+ Years of Experience Required: CI/CD Tools (Azure DevOps, GitHub Actions, Jenkins, Comparable enterprise CI/CD platforms)
• 3+ Years of Experience Required: Python Development (Production-level Python application development, Building scalable backend and AI-driven solutions)
• 3+ Years of Experience Required: Natural Language Processing & Large Language Models (Transformer architectures, Retrieval-Augmented Generation (RAG), Fine-tuning models, Prompt engineering, LLM application development)
• 3+ Years of Experience Required: Time Series Analytics (Forecasting, Sequential modeling, Anomaly detection, Real-time monitoring systems)
• 3+ Years of Experience Required: Recommendation Systems (Collaborative filtering, Ranking algorithms, Personalization engines, Content recommendation platforms)
• 3+ Years of Experience Required: MLOps (MLflow, Weights & Biases, Kubeflow, Apache Airflow, Similar MLOps platforms)
• 3+ Years of Experience Required: Distributed AI Training (Multi-GPU environments, Multi-node training, Data parallelism, Large-scale model training)
• 3+ Years of Experience Required: Computer Vision (PyTorch, TensorFlow, OpenCV, YOLO, Object detection, Image segmentation, Real-time inference systems)
• 3+ Years of Experience Required: Feature Engineering (Feature stores such as Feast or Tecton, Advanced feature engineering methodologies)
• 3+ Years of Experience Required: Model Optimization (Quantization, Pruning, Knowledge distillation)
• 3+ Years of Experience Required: Alternative/Open-Source LLM Platforms (Ollama, Hugging Face, Other non-frontier/open-source model ecosystems)
• 2+ Years of Experience Required: Production AI/ML Delivery (Demonstrated experience building and deploying at least 2–3 machine learning models used by real-world users in production environments)
• Applicants must be legally authorized to work in the United States throughout the duration of the engagement.
• Selected candidates must successfully complete required background investigations before beginning work, including: Criminal history review, State and county-level checks, Sex offender registry review, Additional client-required screenings if applicable.

Nice To Haves

• GIS and spatial data analysis experience
• Transportation, logistics, or smart-city technology experience
• Computer vision applications involving infrastructure, roadway, or vehicle-related data
• Public-sector data governance, compliance, and security experience
• Unreal Engine experience
• Digital twin implementation experience
• Google Maps Cesium API experience
• Polygonflow Dash experience

Responsibilities

• Design, develop, test, and deploy scalable AI/ML solutions in cloud environments.
• Build and maintain production-grade machine learning pipelines and model deployment frameworks.
• Develop applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and transformer-based architectures.
• Create and optimize NLP solutions, recommendation systems, forecasting models, and anomaly detection systems.
• Design and implement computer vision solutions for real-time and large-scale data processing.
• Develop and maintain MLOps workflows, model monitoring, and automated retraining processes.
• Build and manage CI/CD pipelines supporting AI and software delivery.
• Containerize and deploy applications using Docker and Kubernetes.
• Collaborate with cross-functional teams to gather requirements and translate business needs into technical solutions.
• Optimize model performance through quantization, pruning, distillation, and distributed training techniques.
• Work with structured, unstructured, vector, and spatial datasets to support analytics and predictive modeling initiatives.
• Document solutions, architectures, and deployment processes according to client standards.
• Participate in technical reviews, troubleshooting, and ongoing operational support.

Benefits

• Employee-owned company
• Relocation assistance is not specified
• Overtime may occasionally be required and must receive prior client approval.
• Candidates may be asked to support occasional evening, weekend, or holiday activities based on project demands.

What This Job Offers

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