Sr. AI Software Engineer
Job in
Burlington, Middlesex County, Massachusetts, 01805, USA
Listed on 2025-11-25
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
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
- 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
- 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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