Applied AI Engineer

Parsons is hiring an Applied AI Engineer in Colorado (onsite) to build production-grade AI applications that convert complex real-world data into actionable information. This role combines hands‑on applied AI development with work across computer vision, robotics, geospatial systems, and production software delivery.

• Design and build AI-enabled applications from prototype stages through production deployment.
• Develop computer vision and multimodal AI workflows for imagery, video, drone data, geospatial data, and 3D environments.
• Apply modern AI methods including segmentation, feature extraction, self-supervised learning, foundation models, LLMs, and VLMs.
• Create AI workflows for drone-based inspection, mapping, perception, and emerging autonomous capabilities.
• Develop scalable Python services and APIs using frameworks such as FastAPI
  .
• Build data pipelines that connect AI inference with SQL databases
  , APIs, sensor-derived data, and external data sources.
• Optimize and deploy AI models using Py Torch ,
  ONNX
  , and related inference tooling.
• Collaborate with engineers and domain experts to transform loosely defined technical problems into usable software.
• Support software architecture, testing, source control, automated deployment, and production reliability.
• Rapidly evaluate emerging AI techniques to identify where they deliver practical value.

• Bachelor's degree in Computer Science, Engineering, Robotics, Data Science, or a related technical discipline (or equivalent practical work experience).
• 2+ years of experience building production-grade software using Python
  .
• Strong software engineering fundamentals, including modular design, testing, debugging, and maintainable code.
• Experience developing and integrating machine-learning or computer-vision models into real applications.
• Experience with Py Torch or a comparable ML framework.
• Experience building APIs and backend services, with FastAPI or similar frameworks preferred.
• Experience with SQL databases and structured data.
• Familiarity with modern AI techniques such as computer vision foundation models, embeddings, LLMs, or VLMs.
• Proficiency with Git
  /source control,
  Linux development environments, and CI/CD workflows.
• Ability to independently prototype, evaluate, and product ionize new technical approaches.

• Python, FastAPI, PyTorch, ONNX
• SQL, Git, Linux, CI/CD
• LLMs, VLMs
• Self-supervised learning, segmentation, feature extraction, foundation models

• Experience with Type Script and React or similar modern web‑development frameworks.
• Experience building full‑stack AI applications.
• Experience with geospatial or 3D data, including one or more of:
  LiDAR and point clouds
  , photogrammetry, GIS/geospatial imagery, digital twins or facility models, camera geometry and 3D reconstruction.
• Experience working with drone platforms, aerial imagery, mapping, or autonomous sensing systems.
• Experience with ONNX
  , GPU inference, model optimization, or edge deployment.
• Experience developing applications using LLMs or VLMs or SSL methods (SAM, DINO v3).
• Experience with segmentation, feature matching, embedding models, or self-supervised computer vision.
• Familiarity with Docker, cloud deployment, automated testing, and modern Dev Ops practices.
• Familiarity with ROS/ROS 2, localization, sensor systems, or robotics software.
• Experience working with drone, mobile, camera, or other real‑world sensor datasets.

Salary range: USD 74,800
- 130,900 per year.

• Medical, dental, and vision benefits
• Paid time off
• Employee Stock Ownership Plan (ESOP)
• 401(k)
• Life insurance
• Flexible work schedules
• Holidays
• Paid time off and paid flexible holidays
• Comprehensive medical, dental, and vision plans through large national carriers, with the choice of regional PPO, HDHP, or HMO networks
• Employee Assistance Program
• Weekly Meditation Mondays and Wellness Wednesdays

None