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Sr. AI Software Engineer

Job in Burlington, Middlesex County, Massachusetts, 01805, USA
Listing for: Alexander Technology Group
Full Time position
Listed on 2025-11-25
Job specializations:
  • IT/Tech
    AI Engineer, Systems Engineer, Cloud Computing, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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 a real‑time edge computing environment.

Please reach out to Chris McMillan at  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/Cloud Formation + 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/Cloud Formation), 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 (Tensor

    RT, ONNX Runtime, Torch Serve)
  • Real‑time, streaming, or event‑driven systems experience
  • Familiarity with Postgres, Redis
  • Dev Ops/CI/CD/observability experience (Prometheus, Grafana)
  • Security + networking optimization in edge environments
  • Leadership or mentorship experience

Seniority level:
Mid‑Senior level

Employment type:

Full‑time

Job function:
Engineering and Information Technology

Industry: IT Services and IT Consulting

Please reach out to Chris McMillan at  with an updated resume.

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