Respond by: 06/11/2026
Rate: DOE
Type: Contract
Work Mode: Hybrid
Location: Austin TX
Please respond with resume and 3 references preferably supervisor (name, title, company, email, phone number)
Background Check will be performed if a candidate is selected for placement and will have to be passed'
A Software Developer Specialist will focus on engineering-related software services, including model ingestion, automated quantity extraction, plan conformance checks, and CI/CD automation. Leveraging PEPS ensures compliance with procurement regulations while enabling rapid onboarding of specialized talent.
The Senior Software Developer Specialist will be responsible for advancing AI initiatives by extending existing proof-of-concept (POC) solutions into scalable, production-ready web applications that directly support transportation engineering workflows.
This role will focus on transforming early-stage AI models and prototypes-such as those supporting plan review automation, roadway asset detection, and digital delivery-into fully integrated applications accessible through secure, user-friendly web interfaces across the enterprise.
II. CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements: | ||
Years | Required/Preferred | Experience |
8 | Required | Cloud Platforms: Experience with AWS, Azure, GCP, or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major cloud providers (Azure AI, AWSSageMaker/Bedrock, GCP Vertex AI, OCI AI Services). |
8 | Required | DevOps: Ansible, CI/CD, Docker and Kubernetes experience. |
8 | Required | Databases: SQL (PostgreSQL, MySQL) and NoSQL/vector databases. |
8 | Required | Scripting: Proficient in both Bash and PowerShell for automation. |
8 | Required | CI/CD Experience:Azure DevOps, GitHub Actions, Jenkins, or similar automation pipelines. |
3 | Required | Python: 3-5+ years production experience, this is your primary language. |
3 | Required | NLP/LLMs: Experience with transformers (BERT, GPT, T5), RAG systems, fine-tuning, prompt engineering, or building LLM applications. |
3 | Required | Time Series: Forecasting models, anomaly detection, sequential data modeling, or real-time monitoring systems. |
3 | Required | Recommender Systems: Collaborative filtering, ranking models, personalization engines, or content recommendations. |
3 | Required | MLOps Tools: Production experience with MLflow, Weights & Biases, Kubeflow, Airflow, or similar platforms. |
3 | Required | Distributed Training:Large-scale model training, multi-GPU/multi-node setups, efficient data parallelism. |
3 | Required | Computer Vision: Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. |
3 | Required | Feature stores (Feast, Tecton) or advanced feature engineering. |
3 | Required | Model optimization: quantization, pruning, knowledge distillation. |
3 | Required | LLM Models:Ollama, Huggingface, or other non-frontier models |
2 | Required | AI/ML Production: Built and deployed 2-3+ ML models serving real users, not just experiments. |
1 | Preferred | Experience with Geospatial Information Systems (GIS) and analyzing spatial data. |
1 | Preferred | Prior experience in the transportation, logistics, or smart city sectors. |
1 | Preferred | Background in Computer Vision (object detection, image segmentation) applied to infrastructure or vehicular data. |
1 | Preferred | Familiarity with public sector data compliance, security, and governance standards. |
1 | Preferred | Experience with the Unreal gaming engine and real world digital twinning |
1 | Preferred | Experience with Google Maps Cesium API |
1 | Preferred | Experience with Polygonflow Dash and its capabilities |
III. TERMS OF SERVICE
Services are expected to start 06/15/2026 and are expected to complete by 06/14/2027. Total estimated hours per Candidate shall not exceed 2080 hours. This service may be amended, renewed, and/or extended providing both parties agree to do so in writing.