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Work From Home Bms Design Engineer Jobs (NOW HIRING)

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Work From Home Bms Design Engineer information

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$77K

$186.2K

$203K

How much do work from home bms design engineer jobs pay per year?

As of Jul 7, 2026, the average yearly pay for work from home bms design engineer in the United States is $186,238.00, according to ZipRecruiter salary data. Most workers in this role earn between $202,000.00 and $202,000.00 per year, depending on experience, location, and employer.

What is a Work From Home BMS Design Engineer job?

A Work From Home BMS (Building Management System) Design Engineer is responsible for designing, developing, and optimizing BMS systems used to monitor and control building operations like HVAC, lighting, and energy management. They create system diagrams, select appropriate hardware and software, and ensure compliance with industry standards. Working remotely, they collaborate with clients, architects, and project teams using digital tools to design efficient and sustainable systems. This role requires expertise in automation, controls engineering, and BMS software like Tridium, Siemens, or Schneider Electric. Strong problem-solving skills and the ability to work independently are essential for success.

What are the key skills and qualifications needed to thrive in the Work From Home Bms Design Engineer position, and why are they important?

To thrive as a Work From Home Bms Design Engineer, you need a solid background in electrical engineering, control systems, and battery management systems (BMS), usually evidenced by a relevant degree and experience in BMS design. Familiarity with tools such as MATLAB/Simulink, PCB design software, and knowledge of industry standards (such as ISO 26262 or UL certifications) is typically required. Strong problem-solving, self-motivation, and effective remote communication skills are essential for success in a distributed work environment. These skills help ensure accurate BMS designs, seamless team collaboration, and the ability to deliver high-quality solutions efficiently from a remote setting.

What are some typical daily responsibilities for a Work From Home Bms Design Engineer?

As a Work From Home Bms Design Engineer, your daily tasks may include designing and simulating battery management circuits, writing and updating system specifications, and collaborating virtually with cross-functional teams such as hardware, firmware, and testing engineers. You will often participate in remote meetings to review design progress, troubleshoot issues, and ensure compliance with relevant standards. Additionally, you might regularly document your work and report to project leads using digital collaboration platforms. Working from home requires excellent organizational skills, as you will independently manage your tasks while maintaining close virtual communication with your team.

More about Work From Home Bms Design Engineer jobs
What cities are hiring for Work From Home Bms Design Engineer jobs? Cities with the most Work From Home Bms Design Engineer job openings:
What states have the most Work From Home Bms Design Engineer jobs? States with the most job openings for Work From Home Bms Design Engineer jobs include:

Applied AI Engineer, Work From Home

Parallel Partners

San Francisco, CA โ€ข Remote

Full-time

Medical, Dental, Vision, PTO

Posted 4 days ago


Job description

Job Description

Applied AI Engineer, Work From Home

We are looking for an Applied AI Engineer to design, build, and optimize AI-powered features that sit directly inside our product workflows.ย  The Applied AI Engineer role focuses on turning model capabilities into real product behavior, where AI interacts with users, supports decision-making, and powers automation across insurance journeys.ย  This is a fully remote role where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI-powered systems.ย  We have multiple openings for this position.ย  This position is 100% Remote.

Applied AI Engineer Responsibilities:

- Build AI-powered product features integrated into real insurance workflows.

- Design and optimize LLM-based interactions across customer and internal systems.

- Develop prompts, reasoning flows, and structured AI outputs for production use cases.

- Evaluate model performance using real-world data, feedback loops, and experiments.

- Improve reliability of AI outputs through guardrails, fallback logic, and validation layers.

- Work closely with backend engineers to integrate AI capabilities into APIs and workflows.

- Design and implement AI-driven automation features (chat, recommendations, decision support).

- Analyze user behavior and model responses to continuously improve AI performance.

- Collaborate with product, design, and engineering teams to ship end-to-end AI features.

- Contribute to AI system design decisions focused on usability and real-world impact.

Applied AI Engineer Outcomes

- AI features are reliable, consistent, and production-ready across workflows.

- User-facing AI interactions are intuitive and improve task completion rates.

- Model outputs are measurable, testable, and continuously improving.

- AI-driven automation reduces manual work in insurance processes.

- Product teams can safely deploy AI features with controlled behavior.

Qualifications

Applied AI Engineer Qualifications:

- Strong software engineering background in production environments.

- Experience working with LLMs (OpenAI, Anthropic, or open-source models).

- Familiarity with prompt engineering, structured outputs, and tool use patterns.

- Experience building or integrating AI features into real products.

- Strong understanding of API-based system integration.

- Ability to evaluate AI outputs critically using data and user feedback.

- Experience with experimentation, A/B testing, or evaluation frameworks.

- Strong product sense and focus on user experience.

- Comfortable working in fast-paced, globally distributed teams.

- Tech Stack:ย  A/B Testing, AI, Artificial Intelligence, Anthropic, Evaluation Frameworks, LLM APIs, Node.js, NoSQL, OpenAI, Open-Source Models, Pinecone, Prompt Engineering Frameworks, Python, REST APIs, SQL, Vector Databases, and Weaviate.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:ย  San Francisco CA Jobs, Applied AI Engineer, A/B Testing, AI, Artificial Intelligence, Anthropic, Evaluation Frameworks, LLM APIs, Node.js, NoSQL, OpenAI, Open-Source Models, Pinecone, Prompt Engineering Frameworks, Python, REST APIs, SQL, Vector Databases, Weaviate, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire an Applied AI Engineer in San Francisco, CA or in other cities?ย  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire Applied AI Engineers for jobs in San Francisco, California and in other cities too.ย  Please contact our IT recruiting agencies and IT staffing companies today!

Additional Information

All your information will be kept confidential according to EEO guidelines.