AI Engineer || Austin-TX (Hybrid - Locals Only) || Must have Linkedin and 14+ years of exp.||

AI Engineer

Austin-TX (Hybrid - Locals Only)

Must have Linkedin and 14+ years of exp.

Interview Mode : Video

• Active Texas DL & LinkedIn ID Must for submission

• Please do not submit candidates who are currently out of state and are planning to move to Texas.

Candidates must already reside in Texas.

Total EXP: 14+ Years must

Required Skills:

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 client's 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.

SKILLS AND QUALIFICATIONS

Actual

Years

Experience

Years

Experience

Needed

Required/

Preferred

Skills/Experience

8

Required

Cloud Platforms: Experience with AWS, Azure, Google Cloud Platform, or OCI for deploying and managing ML workloads.

We leverage AI/ML tools across all major cloud providers (Azure AI, AWS SageMaker/Bedrock, Google Cloud Platform 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

Thanks,

KK