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Full Time Vector Tracing Jobs (NOW HIRING)

Full Stack Engineer Raleigh, NC | In-office | Full-time Hey Scot here, CEO and co-founder of ... PostgreSQL, Redis, Neo4j, vector stores. * Eventing : Event-driven Dapr architecture with pub/sub.

Back End Engineer (Remote)

Austin, TX ยท Remote

$110K - $250K/yr

Remote (USA or Canada-based) Type: Full-time Compensation: $110,000 - $250,000 (subject to ... Observability at Scale - deploy a monitoring framework with distributed tracing. Policy as Code ...

Full Stack Engineer Raleigh, NC | In-office | Full-time Hey - Scot here, CEO and co-founder of ... PostgreSQL, Redis, Neo4j, vector stores. * Eventing : Event-driven Dapr architecture with pub/sub.

We're hiring a full-time Software Engineer, AI Platform to own the data platform, ETL pipelines ... Familiarity with pgvector or other vector stores * Multi-region AWS deployment experience * Some ...

Data Engineer - AI

Dallas, TX

$113.30K - $136K/yr

Data Engineer - AI Dallas, TX (preferred) | Hybrid (Bishop Arts preferred) | Full-time Reports to ... Support vector database, semantic retrieval, and modern AI architecture workflows * Understand how ...

Exempt Employment Type: Full-Time Compensation: $140,000 - $160,000 annually (based on experience ... Experience building RAG pipelines including embeddings, vector search, chunking strategies, and ...

Data Engineer

San Francisco, CA ยท On-site

$140K - $160K/yr

Exempt Employment Type: Full-Time Compensation: $140,000 - $160,000 annually (based on experience ... Experience building RAG pipelines including embeddings, vector search, chunking strategies, and ...

J0426-1422 Employment Type: Full Time Position Description: Join CGI Federal as a Forward Deployed ... LLM integrations, RAG patterns, vector search, prompt/tool orchestration, model evaluation, and ...

New

... Vector stores like Milvus and familiarity with AWS based Infrastructure deployments. You will ... The minimum and maximum full-time annual salaries for this role are listed below, by location.

Director, Software Engineering

New York, NY ยท On-site

$276.80K/yr

... Vector stores like Milvus and familiarity with AWS based Infrastructure deployments. You will ... The minimum and maximum full-time annual salaries for this role are listed below, by location.

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Full Time Vector Tracing information

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How much do full time vector tracing jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for full time vector tracing in the United States is $19.70, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $23.56 per hour, depending on experience, location, and employer.

What is the difference between Full Time Vector Tracing vs Full Time Graphic Designer?

AspectFull Time Vector TracingFull Time Graphic Designer
Primary FocusConverting images into vector formatsCreating visual concepts and designs
Skills & ToolsAdobe Illustrator, vector software, attention to detailAdobe Photoshop, Illustrator, creativity, layout skills
Work EnvironmentDesign studios, print shops, digital agenciesAdvertising agencies, marketing firms, in-house teams
CredentialsOften requires proficiency in vector software, portfolioDesign degree or equivalent, portfolio

Full Time Vector Tracing primarily involves converting images into vector formats, focusing on precision and software skills. Full Time Graphic Designers create comprehensive visual concepts, combining creativity with technical skills. While both roles require design software proficiency, vector tracing is more specialized, often serving as a technical support role within larger design projects.

More about Full Time Vector Tracing jobs
What cities are hiring for Full Time Vector Tracing jobs? Cities with the most Full Time Vector Tracing job openings:
What are the most commonly searched types of Vector Tracing jobs? The most popular types of Vector Tracing jobs are:
What states have the most Full Time Vector Tracing jobs? States with the most job openings for Full Time Vector Tracing jobs include:
Infographic showing various Full Time Vector Tracing job openings in the United States as of May 2026, with employment types broken down into 33% Locum Tenens, 34% As Needed, and 33% Full Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $40,972 per year, or $19.7 per hour.

Full Stack Engineer

ReFibuy, Inc.

Raleigh, NC โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

Full Stack Engineer

Raleigh, NC | In-office | Full-time

Hey Scot here, CEO and co-founder of ReFiBuy. If you're the kind of engineer who reads release notes for fun, ships on day one, has been quietly building agents on the side, and gets a little restless on teams that talk more than they build keep reading. Let's dig in.

A few quick notes up front:

  • No recruiters, please.
  • Applicants must have permanent work authorization in the US. We're not sponsoring visas for this role.
  • This is an in-office role. We're default in-office in Raleigh, NC. If you're not in the Triangle, you'd need to relocate at your own expense we don't have a relocation budget for this seat.
  • You'll work daily with our Dublin engineering team across the Atlantic. Comfort with async + a couple of early/late calls a week is part of the job.

About the Role
You'll help us build an AI-native, agentic ecommerce platform end-to-end shipping features across a Next.js + TypeScript front end and a C# .NET 9 back end on .NET Aspire that powers an event-driven, multi-tenant SaaS platform. You'll spend as much time wiring up production agent workflows (enrichment, scoring, multi-engine monitoring) as you do building UI. We don't have room for people who want to specialize in one corner we want builders who own the whole feature: schema to UI to telemetry to rollout.

To be concrete about scale: today we're running tens of thousands of SKUs through agentic enrichment, distributing optimized catalogs to engines like ChatGPT, Perplexity, Gemini, and Copilot, and tracking visibility back from each one daily. The work is real, the customers are real, and the agents are in production.

Our stack

  • Frontend: Next.js, React, TypeScript, Tailwind + shadcn, SSR/ISR, server components, plus a Chrome extension surface for sales/SE workflows.
  • Backend: C# .NET 9 on .NET Aspire, microservices, minimal APIs, DI, background workers, feature-flagged rollouts.
  • Data: PostgreSQL, Redis, Neo4j, vector stores.
  • Eventing: Event-driven Dapr architecture with pub/sub.
  • AI-native: AutoGen, Semantic Kernel, frontier LLMs (OpenAI / Anthropic / Google), retrieval, function/tool calling, prompt + response evals, agent orchestration in production.
  • Integrations: Shopify, Bloomreach, PowerReviews, Google UCP, OpenAI Catalog Feed, marketplace + retailer feeds (and many more in flight).
  • Cloud + Platform: Azure, AWS, Supabase, Fly.io, Docker.
  • DevEx: GitHub monorepo, GitHub Actions, trunk-based dev with feature flags, Linear for cycles + tickets.
  • Observability: OpenTelemetry tracing/metrics/logs, dashboards, and a growing fleet of internal Claude-powered ops agents.

What You'll Do:

  • Build product experiences in Next.js + TypeScript with polished UX the kind that makes customers screenshot it and send it to other vendors and say "Why can't your UX be this clean?!".
  • Design resilient .NET Aspire services and event-driven workflows idempotency, retries, DLQs, the unglamorous stuff that keeps agents and feeds honest at 100k+ SKU scale.
  • Ship and own production LLM agent processes: catalog enrichment, attribute generation, QA automation, and the Visibility + Quality Digital Shelf scoring loop. Get customers past the "it works on 25 products" phase to running cleanly across tens of thousands.
  • Build the multi-engine monitoring layer how we measure presence and quality across ChatGPT, Perplexity, Claude, META, Gemini, and Copilot.
  • Wire up agentic ops: extend the agents that run feed health, PR reviews, backlog audits, and prod monitoring and add new ones as the team grows.
  • Work on Reinforcement Learning with AI Feedback Loops. Do you stop everything and watch or listen when a new Andrej Karpathy pod drops? Come join us on the bleeding edge. Implement this as your main gig and not a fun hobby.
  • Own features end-to-end: schema/design, API contracts, evals + tests, telemetry, feature-flag rollout, learnings.
  • Contribute to platform and devex: CI/CD, preview envs, AI coding tools, internal libraries.

Minimum Qualifications

  • 3+ years shipping production apps with modern TypeScript/React or C#/.NET.
  • Solid grasp of SSR, state management, API design, and relational data modeling.
  • Hands-on experience with at least one LLM API and an agent or RAG pattern even side projects count, but you've actually wired up tool calling and seen what breaks.
  • Comfort with containers, cloud deploys, Git, code review hygiene, and automated testing fundamentals.

Nice to Have

  • Next.js App Router, React Server Components, Tailwind + shadcn.
  • .NET 9 + .NET Aspire, minimal APIs, background jobs, Clean Architecture, CQRS.
  • Event-driven messaging with Dapr or Kafka / NATS / SNS+SQS the patterns transfer.
  • Production agent work: AutoGen, Semantic Kernel, LangChain, or your own framework. Bonus for evals, guardrails, and cost/latency tuning.
  • Vector DBs, RAG, hybrid retrieval, response evaluation.
  • Ecommerce catalogs, marketplaces (Amazon / Walmart / eBay), feeds, attribute taxonomy, retailer integrations.
  • Linear cycle-based planning, feature-flag-driven release engineering, on-call comfort.

How We Work

Builder culture: fast iterations, small PRs, daily deploys, trunk-based development, feature flags as the default rollout mechanism. We run on Linear cycles and we keep the PR review queue tight a Claude bot will nudge you at 24 hours don't take it personally. We're in the office because we believe the best work happens at a whiteboard with the team you're shipping with. Fewer meetings, more co-creation.

What You'll Learn

  • Agentic patterns in production tool orchestration, planning, safety guardrails, evals, cost control.
  • Multi-engine optimization reasoning about how ChatGPT, Perplexity, Gemini, and Copilot each interpret a catalog, and what to do about it.
  • Multi-tenant SaaS at SKU scale: isolation, quotas, metering, connection management, perf tuning.
  • Real-time features with WebSockets / streams and backpressure.
  • Ecommerce + AI: surfacing insights and actions that actually move revenue.

Benefits

We're a seed-stage startup, and we've put real benefits in place here's the deal:

  • Healthcare Three BCBS plans to choose from. ReFiBuy covers 80% of the base plan; you cover 20%.
  • Dental, Vision, and Life Insurance available alongside the medical plans.
  • 401k through Human Interest, with a company match: 100% of contributions up to 1% of salary plus 50% up to 5%. No vesting it's yours from day one.
  • Incentive Stock Options (ISOs) you're getting in on the ground floor. 4-year vesting, quarterly.
  • PTO 15 days (120 hours) per year, accruing each pay period. PTO can be used as it accrues, carries over year-to-year up to a 120-hour cap, and unused PTO is paid out at the end of your service.
  • Parking covered by ReFiBuy.
  • Office Raleigh. Founded at 509 W. North St, Raleigh, NC 27603. Glenwood South location, walking distance to restaurants and amenities, with a spacious breakroom, hangout areas, a wellness room, and more.

Note: Benefits are eligible 30 days after start.

About ReFiBuy

ReFiBuy is the Agentic Commerce Optimization (ACO) platform for brands, retailers, and agencies. We exist to help commerce teams compete and win in a world where AI shopping agents ChatGPT, Perplexity, Gemini, Copilot, Claude, and whatever ships next month increasingly decide what gets discovered, recommended, and purchased.

The tools that power ecommerce today were never designed for agents. Product visibility used to depend on people typing keywords; now it depends on whether your product data is complete, structured, and intelligible to machines. We built ReFiBuy from the ground up as an AI-native, closed-loop platform our Commerce Intelligence Engine ingests catalogs at the SKU level, evaluates how agentic engines interpret each product, enriches the gaps, distributes optimized data back to the engines, and monitors performance over time.

We were founded by four ecommerce operators with serious mileage ChannelAdvisor, Rithum, MikMak, and Walmart which makes us one of the most experienced AI startups in the Triangle. We're working with real brands and retailers today, on real catalogs, in production.

Speed-wise: compared to a traditional company you'll feel like you're going 100x faster. Compared to a typical startup, 1020x. If you like to build great and fast, be innovative, go home exhausted from learning so much, and ship work where the impact is immediate you're going to love it here.

If this sounds like your kind of room, send us your resume and a few links to things you've shipped bonus points for an agent or LLM project, even a weekend one. We read everything. That's it for now looking forward to meeting you.

Scot Wingo, CEO