Senior Software Developer (Contractor) RITM1788244

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.

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.

Qualifications :

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

DevOps & Platform Engineering

• Ansible
• Docker
• Kubernetes
• CI/CD implementation and automation

Database Technologies

• SQL databases including PostgreSQL and MySQL
• NoSQL databases
• Vector databases

Automation & Scripting

• Bash scripting
• PowerShell scripting

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

Natural Language Processing & Large Language Models

• Transformer architectures
• Retrieval-Augmented Generation (RAG)
• Fine-tuning models
• Prompt engineering
• LLM application development

Time Series Analytics

• Forecasting
• Sequential modeling
• Anomaly detection
• Real-time monitoring systems

Recommendation Systems

• Collaborative filtering
• Ranking algorithms
• Personalization engines
• Content recommendation platforms

MLOps

• MLflow
• Weights & Biases
• Kubeflow
• Apache Airflow
• Similar MLOps platforms

Distributed AI Training

• Multi-GPU environments
• Multi-node training
• Data parallelism
• Large-scale model training

Computer Vision

• PyTorch
• TensorFlow
• OpenCV
• YOLO
• Object detection
• Image segmentation
• Real-time inference systems

Feature Engineering

• Feature stores such as Feast or Tecton
• Advanced feature engineering methodologies

Model Optimization

• Quantization
• Pruning
• Knowledge distillation

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 23 machine learning models used by real-world users in production environments

Preferred Qualifications:

Candidates with one or more of the following qualifications will receive additional consideration:

• 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

Additional Information :

Schedule:

Monday through Friday

8:00 AM to 5:00 PM Central Time

State holidays observed per client schedule

On-Site Requirement:

Minimum of 4 days per week on-site in Austin Texas

Remote work flexibility is limited and subject to client approval

Important:
Candidates must be able to reliably commute to the Austin office throughout the engagement.

Work Authorization

Applicants must be legally authorized to work in the United States throughout the duration of the engagement.

Background Screening

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

Employment Conditions

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.

Time reporting must comply with client-established procedures and systems.

Candidate Considerations Before Applying

Please review the following carefully before applying:

Relocation assistance is not specified.

Candidates must be available to start near the anticipated project start date.

Extended absences may impact project eligibility.

Background screening is mandatory.

Only candidates authorized to work in the United States will be considered.

Compensation is subject to client-established limits and final approval.

If you are passionate about applying advanced AI machine learning computer vision and cloud technologies to impactful public-sector initiatives we encourage you to apply and join RESPECs growing government technology practice.

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Full-time