
51 - 200 employees
Founded 1997
📡 Telecommunications
⚡ Energy
🏗️ Construction
Telecommunications • Energy • Construction
SAI Group is a turnkey developer and contractor based in Salem, NH that provides wireless telecommunications, renewable energy, and construction services. The company offers full lifecycle site development for wireless networks — including RF engineering, DAS services, tower antenna/cable crews, electricians, installation, commissioning and optimization — and emphasizes in-house capabilities, quality control and schedule/cost management. SAI also develops renewable energy projects and infrastructure such as electric vehicle charging, solar power and energy storage solutions, and performs residential and commercial construction work. Founded in 1998, SAI highlights the ability to self-perform over 90% of development tasks and serves clients seeking integrated telecom and energy development services.
Selected: 🆕 Date Added.
🕒 5 days ago
AI Engineer building production LLM/VLM applications, RAG pipelines, and multimodal solutions. Deploying APIs and optimizing model inference for accuracy, latency, and cost.
AWS
Azure
Cloud
Docker
Google Cloud Platform
Python
PyTorch
🕒 August 19
Python API Developer building scalable RESTful APIs and backend services. Integrating external systems, optimizing databases, and improving API security, reliability, and performance.
🇮🇳 India – Remote
⏰ Full Time
🟢 Junior
🟡 Mid-level
🔙 Backend Engineer
🚫👨🎓 No degree required
👻 Ghost score 12%
AWS
Azure
Docker
Flask
Google Cloud Platform
Kafka
Linux
Microservices
MySQL
NoSQL
Postgres
Python
RabbitMQ
Redis
SDLC
SQL
🕒 July 27
AI Engineer designing and developing LLM-powered applications with cross-functional teams for scalable technology solutions. Involvement in emerging AI technologies and industry trends in a collaborative environment.
AWS
Azure
Cloud
Django
Docker
Flask
Google Cloud Platform
Kubernetes
Microservices
Python
🕒 July 27
Data Annotator position focusing on labeling, classifying, and validating datasets for AI and ML training. Requires attention to detail and adherence to annotation standards.