Software Developer Specialist; AI​/ML

Austin, United States | Posted on 06/06/2026

Role: Software Developer Specialist (AI/ML)

Location: Austin, TX (Hybrid)

Duration: 12+ Months (2 Possible 1-Year Extensions)

Hours: 2080 Hours

• Python (Production Experience)
• NLP, LLMs, RAG, Prompt Engineering
• Computer Vision (YOLO, OpenCV, PyTorch, Tensor Flow)
• SQL & No
  
  SQL Databases
• Bash & Power Shell Scripting

Preferred:

• GIS / Spatial Data
• Transportation or Smart City Experience
• Digital Twin Technologies
• Unreal Engine
• Polygon flow Dash

Seeking a senior AI/ML-focused Software Developer Specialist to transform existing AI proof‑of‑concepts into scalable, production‑ready web applications supporting transportation engineering workflows, including plan review automation, roadway asset detection, and digital delivery initiatives.

Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

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, AWS Sage Maker/Bedrock, GCP Vertex AI, OCI AI Services).

8 Required Dev Ops:
Ansible, CI/CD, Docker and Kubernetes experience.

8 Required Databases: SQL (Postgre

SQL, MySQL) and No

SQL/vector databases.

8 Required Scripting:
Proficient in both Bash and Power Shell for automation.

8 Required CI/CD

Experience:

Azure Dev Ops, Git Hub 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/Tensor Flow, 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 Polygon flow Dash and its capabilities