Senior Software Engineer

This is a fully remote position, open to applicants in California, +8 more states.

📋 Description

• Create and develop applications powered by AI utilizing LLMs, Agentic AI frameworks, multi-agent systems, RAG, and advanced decision-support solutions.

• Construct intelligent workflows that integrate AI agents with enterprise applications, APIs, databases, operational systems, and cloud services.

• Design and implement scalable software solutions, APIs, microservices, and distributed systems.

• Oversee the complete software development lifecycle from gathering requirements and architectural design through development, testing, deployment, and ongoing support.

• Create firmware and software for embedded devices, sensors, controllers, gateways, and edge computing platforms.

• Connect embedded and edge devices with cloud platforms, AI services, Industrial IoT environments, and operational technology systems.

• Design and execute communication interfaces and industrial protocols.

• Develop smart solutions for data center operations, building automation, energy management, cooling systems, power monitoring, and industrial automation.

• Work collaboratively with infrastructure, operations, and engineering teams to implement AI-driven monitoring, control, and optimization solutions.

• Offer technical leadership, mentor engineers, assess emerging technologies, and contribute to the definition of future AI-enabled products and platforms.

⛳️ Requirements

• A Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.

• Over 5 years of professional experience in software development, delivering production-quality applications and distributed software architectures.

• Strong expertise in various programming languages including Python, C++, C, Rust, Go, Java, and/or JavaScript/TypeScript.

• Experience in developing AI-enabled applications using OpenAI, Azure OpenAI, Anthropic Claude, LangChain, Semantic Kernel, AutoGen, CrewAI, vector databases, and RAG architectures.

• Proven experience in designing and deploying cloud-native solutions on Azure, AWS, and/or GCP.

• Familiarity with Docker, Kubernetes, CI/CD pipelines, and Git-based workflows.

• Practical experience in developing embedded software and firmware for Embedded Linux, RTOS environments, ARM processors, and microcontroller platforms such as STM32, ESP32, and NXP.

• Experience in integrating embedded devices, IoT technologies, industrial systems, and edge computing platforms with cloud services.

• Understanding of data center infrastructure, HVAC systems, cooling technologies, power systems, industrial controls, digital twins, predictive maintenance, or intelligent facility management solutions.

• Experience with PLC programming, industrial automation systems, SCADA platforms, Building Management Systems, and Industrial IoT environments is highly advantageous.

• Excellent communication, collaboration, systems-thinking, and leadership abilities.

• A Master’s degree is preferred.

🏝️ Benefits

• Medical insurance

• Dental insurance

• Vision insurance

• Life insurance

• AD&D insurance

• 401(k) match

• Disability benefits

• Wellness benefits

• Education benefits

• Employee stock purchase plan

• Paid time off

• Holidays

• Onboarding program

• Clear career pathways

• Continuous training

• Specialized development opportunities

• Supportive and inclusive environment