Senior Software Developer (Contractor) RITM1788244

Company Description

Big challenges need bold thinkers.

If you’re someone who sees problems as opportunities, you’ll thrive here. RESPEC is 100% employee-owned, which means we take ownership of every challenge. Here, your ideas drive real solutions. Since 1969, we’ve tackled complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability.

We bring deep technical knowledge, real-world experience, and a commitment to work that matters. If you're looking for a place where your contributions have real impact, you’ll fit right in.

We do not accept unsolicited resumes from third-party recruiters.

Job Description

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 2–3 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 RESPEC's growing government technology practice.