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Remote Splunk Engineer From Home Jobs in California

Cisco

Director, Engineering - SPIE (Remote)

San Jose, CA · Remote

$230K - $325K/yr

This role will be responsible for strengthening how Splunk responds to incidents, learns from them ... E standards. Your Impact * Experienced operational leader who understands incident response ...

Cisco

Director, Engineering - SPIE (Remote)

San Jose, CA · On-site +1

$230K - $325K/yr

This role will be responsible for strengthening how Splunk responds to incidents, learns from them ... E standards. Your Impact * Experienced operational leader who understands incident response ...

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Remote Splunk Engineer From Home information

What is the difference between Remote Splunk Engineer From Home vs Remote Data Analyst From Home?

AspectRemote Splunk Engineer From HomeRemote Data Analyst From Home
Required CredentialsSplunk certifications, technical degreeData analysis certifications, degree in statistics or related field
Work EnvironmentIT/security teams, technical settingsBusiness intelligence, reporting teams
Industry UsageIT, cybersecurity, enterprise monitoringFinance, marketing, healthcare
Search & Comparison IntentTechnical troubleshooting, log analysisData insights, reporting

While both roles involve remote work and data handling, the Remote Splunk Engineer From Home focuses on managing and analyzing machine data using Splunk tools, requiring technical certifications. In contrast, the Remote Data Analyst From Home emphasizes interpreting business data for insights, often with different certifications. Understanding these differences helps job seekers find roles aligned with their skills and career goals.

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Remote Splunk Engineer From Home jobs near you

Applied AI Engineer, Work From Home

Parallel Partners

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 24 days ago

Job description

Company 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. 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. 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. We have multiple openings for this position. 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: 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: 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? 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. Please contact our IT recruiting agencies and IT staffing companies today!
Additional Information
All your information will be kept confidential according to EEO guidelines.

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