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Sr. AI Software Engineer

Alexander Technology Group
Burlington, MA Full Time
POSTED ON 12/10/2025 CLOSED ON 6/9/2026

What are the responsibilities and job description for the Sr. AI Software Engineer position at Alexander Technology Group?

Senior Software Engineer- AI Platform/Real Time OS

Burlington MA – Hybrid – 3 days onsite

The Alexander Technology Group is searching for a Senior Software Engineer that will build high-performance systems at the intersection of AI, edge computing, and cloud infrastructure. The right candidate will have a background with C/C /Go/Python and experienced working in an real-time Edge computing environment.

Please reach out to Chris McMillan at cmcmillan@alexandertg.com with an updated resume if you meet the qualifications.

The Role

  • Build platform software for AI inference, real-time edge workloads, and distributed data processing
  • Architect scalable edge cloud systems from the ground up
  • Develop high-performance components in C/C , Go, and Python
  • Build API-driven middleware connecting AI models, data services, and apps
  • Implement SOA/SaaS frameworks for modular, scalable systems
  • Use Terraform/CloudFormation IaC to automate deployments
  • Deploy using Docker Kubernetes across edge and cloud environments
  • Integrate secure TCP/IP HTTPS communication layers
  • Use CMake Bash for build automation and pipelines
  • Work in a modern Git-based CI/CD environment
  • Collaborate with AI teams to embed ML models into production systems
  • Optimize performance across distributed and resource-constrained environments
  • Mentor engineers and contribute to architectural direction

Experience

  • 6 years of experience in software, embedded, cloud, or distributed systems
  • Expert in C/C , Go, and Python
  • Deep experience with edge/AI platforms, real-time systems, or data pipelines
  • Strong TCP/IP & HTTPS fundamentals
  • Background in SOA, IaC (Terraform/CloudFormation), and SaaS design
  • Hands-on with Docker, Kubernetes, and Linux environments
  • Experience with CMake, Bash, and cloud platforms (AWS/Azure/GCP)
  • Strong debugging performance tuning across distributed systems

Preferred Skills

  • Experience with edge AI platforms, model serving, or sensor-to-cloud infrastructure
  • Knowledge of ML deployment tools (TensorRT, ONNX Runtime, TorchServe)
  • Real-time, streaming, or event-driven systems experience
  • Familiarity with Postgres, Redis
  • DevOps/CI/CD/observability experience (Prometheus, Grafana)
  • Security networking optimization in edge environments
  • Leadership or mentorship experience

Please reach out to Chris McMillan at cmcmillan@alexandertg.com with an updated resume.

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Salary.com Estimation for Sr. AI Software Engineer in Burlington, MA
$142,312 to $182,726
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