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Remote Vector Tracing Jobs in California (NOW HIRING)

$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 ...

Senior Software Engineer, AI Platform

San Francisco, CA · On-site +1

$144K - $190K/yr

Ensure comprehensive monitoring, structured logging, and distributed tracing across all deployed AI ... Strong technical communication, ideally with experience collaborating in an asynchronous remote ...

Remote Vector Tracing information

What are Remote Vector Tracing jobs?

Remote Vector Tracing jobs involve converting raster images (like JPEGs or PNGs) into scalable vector graphics using software such as Adobe Illustrator or CorelDRAW. These positions are typically freelance or contract-based, allowing professionals to work from anywhere with an internet connection. Tasks may include cleaning up logos, creating line art, or preparing images for print and digital use. Strong attention to detail and proficiency with vector graphic tools are essential for success in this field.

What is the difference between Remote Vector Tracing vs Remote Graphic Designer?

AspectRemote Vector TracingRemote Graphic Designer
Required SkillsVector software proficiency, attention to detailDesign software skills, creativity, layout skills
Work EnvironmentMostly focused on image tracing and editingBroader design projects including branding, layouts
Industry UsageUsed in printing, manufacturing, digital artUsed in marketing, advertising, branding
CertificationsNone mandatory, but certifications in Adobe Illustrator helpfulDesign degrees or certifications often preferred

Remote Vector Tracing involves converting images into vector formats with precision, mainly focusing on image editing. Remote Graphic Designers handle a wider range of creative tasks, including branding and layout design. While both roles require design software skills, vector tracing is more specialized, whereas graphic design covers broader creative responsibilities.

What are the key skills and qualifications needed to thrive as a Remote Vector Tracing Specialist, and why are they important?

To thrive as a Remote Vector Tracing Specialist, you need strong proficiency in graphic design principles, attention to detail, and experience with vector graphics software like Adobe Illustrator or CorelDRAW. Familiarity with digital drawing tablets, file format standards (such as SVG, EPS, AI), and possibly relevant design certifications is highly beneficial. Excellent communication, time management, and problem-solving skills help you understand client requirements and deliver accurate results on schedule. These skills ensure high-quality, precise vector outputs that meet client expectations while enabling efficient remote collaboration.

What are some common challenges faced by remote vector tracing specialists, and how can they be addressed?

Remote vector tracing specialists often encounter challenges such as inconsistent project specifications, communication gaps with clients or team members, and managing tight deadlines. To address these, it's important to establish clear communication channels, ask clarifying questions about project requirements, and use collaborative tools to share progress and receive timely feedback. Setting a structured workflow and maintaining organized files can also help ensure accuracy and efficiency while working remotely.
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 are popular job titles related to Remote Vector Tracing jobs in California? For Remote Vector Tracing jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Remote Vector Tracing jobs? Cities in California with the most Remote Vector Tracing job openings:

$130K - $171K/yr

Full-time

PTO

Posted 5 days ago


Job description

Job description
This role is focused on experienced, hands-on engineers who can take end-to-end ownership of complex full-stack systems-spanning TypeScript, React, Node.js, and generative AI integrations-and operate effectively in a fast-moving, early-stage environment. You will be expected to translate ambiguous product goals into reliable, scalable solutions, contribute directly to core platform architecture, and collaborate closely with product, design, and leadership to deliver real-world AI capabilities used in production by customers.
Job requirements
  • Hands-on implementation of LLM-powered systems (applications, agents, workflows).
  • Experience with RAG, embeddings, vector search, or evaluation methodologies.
  • Familiarity with tool/agent orchestration frameworks (LangChain, LangGraph, LlamaIndex, custom frameworks, etc.).
  • Understanding of model behaviour, prompting strategies, and practical guardrail patterns.
  • Strong programming ability in TypeScript, React, Node.js
  • Experience building user-facing and backend systems end-to-end.
  • Ability to contribute across the entire stack without needing months of ramp-up.
  • 5-10+ years professional engineering experience (typically senior-level).
  • Strong architecture, debugging, and performance optimization skills.
  • Familiarity with OpenTelemetry, distributed systems, eventing, or cloud-based observability concepts.

Nice to Have:
  • Exposure to evaluation frameworks, safety systems, or LLM traceability.
  • Experience with Python for AI workflows or backend services.
  • Experience with data pipelines, vector databases, or scalable ML infrastructure.
  • Contributions to open-source AI frameworks (LangChain, LlamaIndex, Transformers, etc.)

Job responsibilities
  • Design, implement, and ship production-grade Gen AI capabilities.
  • Build full-stack product features using TypeScript, React, Node.js, and modern tooling.
  • Contribute to the development of our observability and AI-tracing systems
  • Build internal frameworks and reusable components that accelerate GenAI feature delivery.
  • Take end-to-end ownership of features-from requirements shaping through implementation, testing, release, and iteration.
  • Operate autonomously in ambiguity, making pragmatic engineering decisions aligned with product goals.
  • Diagnose and improve performance, reliability, and quality of AI-driven systems.
  • Partner closely with Product, Design, and other Engineers to shape solutions.
  • Participate actively in code reviews, architectural discussions, and internal technical debates.

Job benefits
  • Fully remote, work from home environment
  • Employee Share Option Plan
  • Flexible working hours
  • Paid Time-Off
  • Periodic in-person offsites globally (travel permitting)
  • Continued education support
  • Advancement opportunity