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Vector Tracing Jobs in California (NOW HIRING)

AI/ML Architect

Irvine, CA · On-site

$68.50 - $88/hr

RAG / Vector DB / Embeddings * API Development & System Integration * AWS Cloud (Cloud-Native Development) * CI/CD & DevOps Practices * Observability (Logging, Monitoring, Tracing) Responsibilities:

Design data storage and retrieval using the right mix of vector, OLAP, SQL, NoSQL, cache, and search systems. * Implement and run observability: monitoring, logging, tracing, and alerting to keep ...

Build agent-based AI workflows, automation systems, and retrieval-based architectures (RAG, vector ... Strong understanding of observability (logging, monitoring, tracing). * Experience deploying ML ...

AI Architect

Torrance, CA · On-site

$65.75 - $86.75/hr

Develop advanced RAG pipelines leveraging vector databases Chroma DB Milvus FAISS and embedding ... Define observability baselines telemetry tracing evaluation metrics and rollout strategies for safe ...

Kubernetes, serverless, stream processing, feature stores, vector search. The Role You'll own the ... Reliability engineering: define SLIs/SLOs, implement tracing, timeouts, circuit breakers, budgets ...

$130K - $171K/yr

Experience with RAG, embeddings, vector search, or evaluation methodologies. * Familiarity with ... Contribute to the development of our observability and AI-tracing systems * Build internal ...

GPU Driver Developer

Sunnyvale, CA · On-site

$175 - $250/hr

Understandingand experience withRISC-V and vector processors * Experience with PCIe bus communications * Experience co-designing hardwarearchitectures * Understanding of path and ray tracing ...

GPU Driver Developer

Sunnyvale, CA · On-site

$175 - $250/hr

Understandingand experience withRISC-V and vector processors * Experience with PCIe bus communications * Experience co-designing hardwarearchitectures * Understanding of path and ray tracing ...

You are comfortable building with foundation model APIs, vector and hybrid search, prompt and model ... Familiarity with tracing, monitoring, evals, prompt testing, quality metrics, and debugging tools ...

GPU Driver Developer

Sunnyvale, CA · On-site

$175K - $250K/yr

Understanding and experience with RISC-V and vector processors * Experience with PCIe bus communications * Experience co-designing hardware architectures * Understanding of path and ray tracing ...

GPU Driver Developer

Sunnyvale, CA · On-site

$175K - $250K/yr

Understanding and experience with RISC-V and vector processors * Experience with PCIe bus communications * Experience co-designing hardware architectures * Understanding of path and ray tracing ...

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Vector Tracing information

See California salary details

$13

$19

$24

How much do vector tracing jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for vector tracing in California is $19.44, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $23.27 per hour, depending on experience, location, and employer.

What is vector tracing?

A Vector Tracing job involves converting raster images (such as JPG or PNG) into scalable vector graphics (such as SVG, AI, or EPS). This process ensures that the image can be resized without losing quality, making it ideal for logos, illustrations, and print designs. Designers use software like Adobe Illustrator or CorelDRAW to manually redraw the image using vector paths. This service is commonly used in branding, embroidery, engraving, and high-quality printing.

What does a vector tracing professional do?

As a Vector Tracing professional, your daily responsibilities generally include converting raster images—such as logos, illustrations, or photographs—into clean, scalable vector graphics using specialized software. You often review client specifications, make revisions based on feedback, and prepare final files in various formats suitable for print, web, or production use. Collaboration with designers, printers, or marketing teams can also be part of your workflow, especially when ensuring consistency across branding materials. Managing multiple projects simultaneously and meeting tight deadlines are common challenges you may encounter in this role.

What are the key skills and qualifications needed to thrive in vector tracing?

To thrive in Vector Tracing, you need strong proficiency in graphic design principles, attention to detail, and the ability to accurately convert raster images to vector format. Familiarity with industry-standard software like Adobe Illustrator or CorelDRAW is essential, and knowledge of different vector file types can be an advantage. Excellent communication skills, time management, and the ability to interpret client feedback set top professionals apart. These skills ensure precise, high-quality vector graphics that meet specific client needs and project deadlines.

What are the most commonly searched types of Vector Tracing jobs in California?

The most popular types of Vector Tracing jobs in California are:

What job categories do people searching Vector Tracing jobs in California look for?

The top searched job categories for Vector Tracing jobs in California are:

Infographic showing various Vector Tracing job openings in California as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $40,435 per year, or $19.4 per hour.

AI/ML Architect

Saransh Inc

Irvine, CA • On-site

$68.50 - $88/hr

Contractor

Re-posted 11 days ago


Job description

Role: AI Scientist / AI Architect
Location: 4 days a week onsite is must (3 days in Irvine, CA & 1 Day in Downtown, LA, CA)
Job Type: Contract
Description:
  • A highly skilled hands-on AI Scientist / Architect with at least 8+ years of experience in AI/ML, Data Science, or Software Engineering.
  • You bring strong expertise in designing and building scalable, production-ready AI solutions, with deep hands-on experience in LLM-enabled applications, agent-based systems, and cloud-native architectures.
  • You are comfortable working closely with business stakeholders and leading AI-driven innovation initiatives in an enterprise environment.
Note:
Mandatory Areas:
  • AI/ML Solution Architecture
  • LLM & Generative AI Development
  • Agent-Based Systems
  • Retrieval-Augmented Systems (RAG)
  • Enterprise AI Integration
  • AI/ML, Data Science, AI Architecture, Python, LLM, CI/CD
Must Have Skills:
• Python & Backend Development
• LLM / Generative AI Application Development
• Agent-Based AI Systems
• RAG / Vector DB / Embeddings
• API Development & System Integration
• AWS Cloud (Cloud-Native Development)
• CI/CD & DevOps Practices
• Observability (Logging, Monitoring, Tracing)
Responsibilities:
  • Design and develop scalable AI/ML pipelines and intelligent applications aligned with enterprise standards
  • Build agent-based AI workflows, automation systems, and retrieval-based architectures (RAG, vector search, embeddings)
  • Architect and implement LLM orchestration layers supporting content ideation, drafting, and editing workflows
  • Lead integration of AI solutions with backend systems and enterprise platforms (APIs, internal tools, data platforms)
  • Partner with product, marketing, and business stakeholders to translate requirements into AI-driven solutions
  • Provide architectural leadership, guide offshore teams, and ensure delivery aligned with scalability, security, and governance standards.
Requirements:
  • At least 8+ years of experience in AI/ML, Data Science, or Software Engineering
  • Strong Python backend development experience
  • Hands-on experience with LLM-enabled applications and Generative AI
  • Experience building agent-based / agent-oriented AI systems
  • Strong expertise in retrieval-based systems (RAG, vector databases, embeddings, indexing)
  • Experience with API development and backend system integration.
  • AWS cloud-native development experience
  • Experience with CI/CD pipelines and environment management
  • Strong understanding of observability (logging, monitoring, tracing)
  • Experience deploying ML models in production environments
  • Exposure to enterprise AI workflows, automation, and governance models.
Domain Experience (If any):
• AI-enabled enterprise workflows
• Marketing / Content generation platforms (nice to have)
• Financial / Investment domain (preferred based on content use cases)
Certifications:
• Not mandatory (AWS / ML / AI certifications are good to have)