ZipRecruiter

Log In

1

Vector Security Jobs in Oregon (NOW HIRING)

LTS

Senior Applied AI Engineer

OR · On-site +1

$122K - $161K/yr

... security controls, Zero Trust principles, and federal compliance requirements. The platform has ... Experience with prompt engineering, embeddings, semantic search, vector databases, and knowledge ...

Grafana Labs

Staff AI Engineer | US | Remote

OR · On-site +1

... choice within security guidelines). We encourage pragmatic AI-assisted development paired with ... Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant ...

DZYNE Technologies

Sr. RF Engineer

Portland, OR · On-site

$180K - $200K/yr

... Vector Network Analyzers, and RF power meters. * Develop and optimize PCB stack-ups and layouts for ... No Security Clearance is required, but it is highly desired Travel Required: Not required for daily ...

New

Robots and Pencils

Forward Deployed Engineer

OR · On-site +1

You'll parachute into in-flight work where reliability, security, and scalability are critical ... Extensive experience building RAG pipelines: chunking strategies, embedding models, vector ...

Arbital Health

AI Engineer

OR · On-site +1

$155K - $180K/yr

... integrity, privacy, security, and compliance through automated quality control procedures ... Vertex AI, GCP Model Garden, MLflow, Databricks Vector Search Core Tools: Python, R, SQL, Next.js ...

previous page

Showing results 41-50

All JobsVector Security JobsVector Security Jobs in Oregon

Vector Security information

What is Vector Security?

Vector Security is a company that specializes in providing security solutions for both residential and business customers. Their services include alarm systems, video surveillance, access control, fire and carbon monoxide detection, and smart home automation. They also offer 24/7 professional monitoring to ensure rapid response in the event of an emergency. Vector Security operates across North America and customizes their solutions based on individual client needs.

What are some common challenges faced by Vector Security technicians in the field, and how can they prepare for them?

Vector Security technicians often encounter challenges such as troubleshooting complex alarm or surveillance systems in diverse environments and addressing customer concerns on-site. Weather conditions, tight schedules, and rapidly evolving technology can also add complexity to their daily tasks. Being adaptable, maintaining strong communication with both customers and the support team, and staying up-to-date with the latest product training can help technicians overcome these challenges and deliver excellent service.

What are the key skills and qualifications needed to thrive as a security systems technician at Vector Security, and why are they important?

To thrive as a Security Systems Technician at Vector Security, you need a solid understanding of electronic security systems, wiring, troubleshooting, and typically a high school diploma or equivalent, with some positions requiring industry certifications. Familiarity with alarm panels, CCTV systems, access control software, and certifications like NICET or manufacturer-specific training are highly valued. Attention to detail, strong problem-solving skills, and effective communication help technicians excel in both technical tasks and customer interactions. These skills are crucial for ensuring the reliable installation and maintenance of security systems, directly impacting client safety and satisfaction.

What is the difference between Vector Security vs Security Technician?

AspectVector SecuritySecurity Technician
Required CertificationsAlarm system certifications, security licensesSecurity system certifications, technical training
Work EnvironmentInstallation, monitoring, and maintenance of security systemsInstalling, repairing, and troubleshooting security equipment
Employer & Industry UsageSecurity companies, alarm service providersSecurity service providers, electronics retailers
Common Search & ComparisonYesYes

Vector Security primarily focuses on alarm system installation, monitoring, and security solutions, often involving customer service and system management. Security Technicians are more hands-on, specializing in installing and repairing security hardware. While both roles require technical certifications and work within the security industry, Vector Security roles may include monitoring responsibilities, whereas Security Technicians focus on technical installation and maintenance.

What are popular job titles related to Vector Security jobs in Oregon?

For Vector Security jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Vector Security jobs in Oregon look for?

The top searched job categories for Vector Security jobs in Oregon are:

Vector Security jobs near you
Infographic showing various Vector Security job openings in Oregon as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Senior Applied AI Engineer

LTS

OR • On-site, Remote

$122K - $161K/yr

Full-time

Re-posted 8 days ago

Key responsibilities

  • Design, prototype, and implement production-ready AI capabilities to improve reasoning, accuracy, explainability, and developer productivity.

  • Improve autonomous and multi-agent workflows through prompt engineering, reasoning optimization, memory strategies, tool selection, and context management.

  • Develop evaluation frameworks, benchmark datasets, and performance metrics to measure AI system effectiveness and analyze AI failures for continuous improvement.

Job description

Location: United States - Remote
Clearance: Ability to obtain and maintain a Public Trust

LTS is seeking a highly skilled Senior Applied AI Engineer to focus on continuously improving the intelligence behind the platform. You'll experiment with models, optimize retrieval strategies, refine agent reasoning, evaluate AI performance, and transform emerging AI capabilities into production-ready solutions.

The Agentic AI platform is designed to help engineers understand, analyze, and modernize one of the most consequential legacy software systems still operating today.

Our platform enables engineers to ask questions in plain English and receive explainable, verifiable answers traced directly back to decades of production source code. Rather than replacing engineers, we're building AI that accelerates engineering through transparency, traceability, and intelligent reasoning.

We're building an AI-native engineering platform supporting the modernization of mission-critical healthcare systems serving millions of Veterans nationwide.

The platform is designed for deployment across federal enterprise environments and is being engineered to align with FedRAMP security controls, Zero Trust principles, and federal compliance requirements.

The platform has executive sponsorship, committed users, and a customer investing in long-term modernization. Our engineering team is intentionally small giving every engineer meaningful ownership, and direct influence over product direction.

We don't simply build AI-powered software-we build software with AI. This is not another chatbot.

Using LLMs, autonomous agents, AI-assisted development, parallel workflows, and model-driven engineering is simply how we work.

What You'll Do:

Advance Applied AI Capabilities

  • Design, prototype, and implement production-ready AI capabilities that improve reasoning, accuracy, explainability, and developer productivity.
  • Evaluate emerging LLMs, multimodal models, agent frameworks, and AI techniques to identify opportunities for platform advancement.
  • Rapidly prototype new AI capabilities and transition successful experiments into production.

Optimize Agent Performance

  • Improve autonomous and multi-agent workflows through prompt engineering, reasoning optimization, memory strategies, tool selection, and context management.
  • Continuously refine Retrieval-Augmented Generation (RAG) pipelines, retrieval strategies, embeddings, reranking, and grounding techniques.
  • Improve AI response quality through experimentation, benchmarking, and iterative optimization.

Evaluate AI Systems

  • Develop evaluation frameworks that measure accuracy, groundedness, explainability, latency, and overall AI effectiveness.
  • Build benchmark datasets, automated evaluation pipelines, and performance metrics for production AI systems.
  • Analyze AI failures, hallucinations, retrieval gaps, and reasoning errors to drive continuous improvement.

Knowledge Engineer

  • Collaborate with software engineers to improve knowledge ingestion, document processing, semantic search, embeddings, and enterprise knowledge management.
  • Design approaches that maximize retrieval quality across large technical documentation and source code repositories.
  • Improve how AI agents discover, organize, and reason over enterprise knowledge.

Collaborate Across Engineer

  • Partner closely with AI architects, platform engineers, software engineers, and front-end engineers to improve the overall intelligence of the platform.
  • Share research findings, experimental results, and engineering recommendations with cross-functional teams.
  • Help establish best practices for experimentation, evaluation, and AI quality throughout the organization.

What We're Looking For:

  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Engineering, Data Science, or a related technical discipline (or equivalent professional experience).
  • 5+ years of software engineering, applied AI, machine learning, or AI systems development experience.
  • Demonstrated experience developing production AI applications powered by Large Language Models (LLMs).
  • Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems.
  • Experience with prompt engineering, embeddings, semantic search, vector databases, and knowledge retrieval.
  • Experience evaluating AI model performance and implementing experimentation frameworks.
  • Strong programming skills in Python and experience with modern software engineering practices.
  • Experience with AI frameworks such as LangGraph, LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar.
  • Experience with using AI coding assistants as part of your daily workflow.
  • Familiarity with REST APIs, cloud-native applications, and distributed software systems.
  • Strong analytical, problem-solving, and communication skills.
  • Intellect and curiosity for AI systems and how they behave.
  • Deep passion for experimenting with new AI techniques.
  • Background in evaluation, explainability, and continuous improvement.
  • Proven success with ownership of difficult technical challenges and collaboration across disciplines.

Nice to Have:

  • Experience optimizing autonomous or multi-agent AI systems.
  • Experience implementing automated AI evaluation frameworks.
  • Experience with OpenAI, Azure OpenAI, Anthropic Claude, Google Vertex AI, AWS Bedrock, or open-source LLMs.
  • Experience with vector databases including Pinecone, Weaviate, Qdrant, Milvus, or Azure AI Search.
  • Experience with Responsible AI, AI governance, safety, and explainability.
  • Familiarity with software engineering tools, code intelligence platforms, or developer productivity solutions.
  • Experience supporting healthcare, Federal Government, or other highly regulated environments.
  • Experience using AI coding assistants and autonomous agents as part of daily software development.

What's In It for You?

  • The Opportunity to support high-visibility federal missions
  • A culture that values innovation, growth, and collaboration
  • Access to cutting-edge tools and technologies
  • Comprehensive benefits for you and your family
  • A career path that rewards ambition and performance

If you're ready to push boundaries, sharpen your skills, and join a team that is passionate about building what's next, we'd love to meet you. Apply today and let's build a future together!

Apply