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Vertex Remote Jobs in Poway, CA (NOW HIRING)

TEKsystems

AI Engineer

San Diego, CA · Remote

$50 - $58/hr

Remote AI/ML Software Engineer, Generative AI Are you passionate about building Generative AI ... Production experience with Google Gemini and Vertex AI. * Experience building RAG pipelines, AI ...

All JobsVertex JobsVertex Remote JobsVertex Remote Jobs in Poway, CA

Vertex Remote information

What is a Vertex Remote?

A Vertex Remote job typically refers to a position at Vertex, a software company specializing in tax technology, that allows employees to work from a remote location rather than a traditional office. These roles can range from software engineering and technical support to sales and customer service, depending on the company's needs. Working remotely for Vertex means using digital tools to collaborate with colleagues, attend virtual meetings, and accomplish daily tasks, all while enjoying the flexibility of working from home or another location. This arrangement is designed to provide work-life balance while maintaining productivity and engagement. Vertex supports remote employees with resources and technology to ensure effective communication and workflow.

What are common challenges faced by professionals working remotely at Vertex, and how are they typically addressed?

Professionals working remotely at Vertex often encounter challenges such as maintaining effective communication with distributed teams and ensuring consistent access to company resources. To address these, Vertex typically provides robust collaboration tools, regular virtual meetings, and centralized project management platforms to keep everyone aligned. Remote employees are encouraged to proactively communicate and participate in team check-ins, helping to foster a strong sense of connection and support despite the physical distance.

What are the key skills and qualifications needed to thrive as a Vertex Remote Tax Consultant, and why are they important?

To thrive as a Vertex Remote Tax Consultant, you need strong knowledge of tax regulations, compliance, and tax software, often supported by a degree in accounting or finance. Familiarity with Vertex tax automation software and ERP systems like SAP or Oracle, as well as certifications such as CPA, are typically required. Excellent analytical skills, attention to detail, and effective communication are vital soft skills for interpreting tax data and collaborating with clients. These skills ensure accurate tax compliance, efficient problem-solving, and high-quality client service in a remote environment.

What is the difference between Vertex Remote vs Vertex Customer Support Specialist?

AspectVertex RemoteVertex Customer Support Specialist
Required CredentialsHigh school diploma or equivalent; relevant experienceHigh school diploma; customer service experience often preferred
Work EnvironmentRemote, home-basedRemote, home-based or office depending on employer
Industry UsageTax technology, finance, and softwareTax software support, finance, and customer service
Common Search/ComparisonYesYes

The comparison between Vertex Remote and Vertex Customer Support Specialist highlights that both roles often require similar credentials and are typically remote positions within the tax and finance industry. While Vertex Remote may encompass a broader range of roles within the company, the Customer Support Specialist focuses specifically on assisting clients with software issues. Both positions are suitable for individuals seeking remote work in customer service or technical support within the tax technology sector.

Does Vertex Remote allow remote work?

Vertex Remote positions typically offer remote work options, allowing employees to work from home or other locations. The availability of remote work may depend on the specific role and company policies, but many remote jobs in this field are designed to be performed remotely with the use of communication tools and online collaboration platforms.

What are popular job titles related to Vertex Remote jobs in Poway, CA?

For Vertex Remote jobs in Poway, CA, the most frequently searched job titles are:

What cities near Poway, CA are hiring for Vertex Remote jobs?

Cities near Poway, CA with the most Vertex Remote job openings:

Vertex Remote jobs near you
Infographic showing various Vertex Remote job openings in Poway, CA as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 73% Physical, 6% Hybrid, and 21% Remote job distribution.

Senior Generative AI Engineer (Google Gemini & Vertex AI) - Remote

DivIHN

San Diego, CA • On-site, Remote

$110K - $152K/yr

Contractor

Posted 7 days ago

Job description

For further inquiries about this opportunity, please contact one of our Talent Specialists, Justeen at (224)-394-4903
Title: Senior Generative AI Engineer (Google Gemini & Vertex AI) - Remote
Duration: 6 Months with possible for extension
Location: Remote
Candidates must be available to work West Coast (PST) hours.
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered.
Day to Day Responsibilities
  • RAG & Prompt Engineering: Craft and refine effective prompts for RAG, grounding, and context tuning to achieve optimal AI performance in product development.
  • High-Performance API Engineering: Develop asynchronous microservices (FastAPI) using Server-Sent Events (SSE) or WebSockets to stream real-time LLM responses to front-end UIs without backend timeouts.
  • Vector Database Infrastructure: Design, develop, and implement robust Vector Databases using LLMs and modern retrieval technologies to capture information from diverse engineering sources (PDFs, design docs, regulatory guidelines).
  • Data Extraction & Structuring Pipelines: Build and optimize pipelines to extract and structure multi-modal data (tables, text, images) from unstructured documents for LLM training, grounding, and runtime query execution.
  • LLM Fine-Tuning & Training: Fine-tune and train generative AI models using client's engineering data and domain knowledge to create high-accuracy, domain-specific models.
  • GenAI Application & Tool Development: Design and implement scalable backend APIs (FastAPI/REST) and UI integration interfaces so internal engineers can query knowledge bases and analyze data.
  • Automated Requirements Generation: Develop backend functionalities to automatically generate technical requirements from design documents, user stories, and system specification files.
  • Documentation & Knowledge Transfer: Thoroughly document architecture, code, REST endpoints, and model training procedures to enable seamless knowledge transfer to client's internal teams.
  • Cross-Functional Collaboration: Partner closely with Subject Matter Experts (SMEs), System Engineers, and V&V Test teams to optimize AI-powered workflows.
  • AI Guardrails, MLOps & Cost Governance: Implement hallucination checks, PII masking, and guardrails (e.g., NeMo Guardrails) for medical device context. Track token usage, latency, and costs using LangSmith or Vertex AI monitoring.
  • Collaborate closely with engineers and cross-functional teams to design and develop AI solutions.
  • Develop and integrate Generative AI applications and APIs.
  • Work with large datasets, document processing, and data pipelines.
  • Participate in problem-solving, solution design, and technical discussions.
  • Communicate effectively with team members and stakeholders.

Must-Have Qualifications :
  • Relevant Experience & STEM Foundation: 4+ years of professional software/ML engineering experience, with a dedicated AI/ML focus in the last 1-2 years.
  • Google Gemini / Vertex AI (Non-negotiable): Hands-on experience with the Gemini model family and Vertex AI, including deployment, grounding, and integration into production AI services. Hands-on experience with containerization (Docker) and deploying services via Cloud Run or GKE (Kubernetes).
  • Languages & AI Libraries: Proficiency in Python and modern ML/AI frameworks (PyTorch, LangChain, LangSmith) for building autonomous LLM agents, tools, and RAG pipelines.
  • Agent Building & Tool Calling: Proven experience building AI/LLM agents and tool-calling systems in Python against unstructured, multi-source data.
  • Context Engineering & RAG: Expertise in RAG pipelines, prompt engineering, context tuning, grounding, and Vector Databases (e.g., Milvus, Postgres/Pgvector). Clear understanding of advanced RAG architecture including Hybrid Search (Vector + Keyword), Re-ranking models, and semantic caching.
  • Unstructured Data Handling (Non-negotiable): Demonstrated ability to ingest, clean, extract, and structure text, tables, and images from unstructured documents (PDFs, design docs, regulatory files) for LLM training and usage.

Role Information
  • Generative AI Engineer role.
  • Experience in API development.
  • Hands-on experience with Google Gemini and Vertex AI.
  • Knowledge of Agentic AI frameworks and architectures.
  • Strong Python development skills, including experience with LangChain and related AI frameworks.
  • Open to candidates from any industry domain.

Required Skills :
  1. Full Stack Engineering - Building applications for AI-powered services (Backend APIs + Front-End Integration).
  2. Generative AI & LLM Platforms - 2+ years building RAG pipelines & LLM apps using Python, LangChain, and LangSmith.
  3. Agent Building & Unstructured Data - Building AI agents/tool-calling systems in Python and handling unstructured, multi-source data extraction (PDFs, docs).
  4. Strong hands-on experience in Artificial Intelligence and Generative AI
  5. Python programming expertise.
  6. Experience with LangChain and Agentic AI frameworks.
  7. Understanding data handling to pull data from PDFs, design docs, regulatory files

Preferred Skills :
  1. Direct experience architecting and serving custom REST APIs.
  2. Experience in regulated / compliance-sensitive domains (e.g., healthcare / medical device guidelines like FDA, ISO 13485).
  3. Experience integrating multiple LLM APIs beyond a single provider (OpenAI, Bedrock, Claude, or similar).

Additional Preferred Skills
  • Direct experience designing and deploying high-throughput REST APIs (e.g., FastAPI/Flask).
  • Familiarity with medical device development regulations and compliance (e.g., FDA guidelines, ISO 13485).
  • Experience integrating multiple LLM APIs beyond a single vendor (e.g., OpenAI, AWS Bedrock, Anthropic Claude).
  • Front-end development/integration experience for UI design (e.g., Streamlit, Gradio, React/Next.js integration).

Education Requirements:
  • Minimum Bachelors in Software/Computer/IT/Systems/Biomedical Engineering + 3 years

Required Testing:
  • Technical evaluation of Python proficiency, RAG architecture concepts, and API/Agent design.

Software Skills Required:
  • Languages: Python (AsyncIO, OOP), SQL.
  • AI & Agent Frameworks: PyTorch, LangChain, LangSmith, Vertex AI SDK.
  • API & Web Frameworks: FastAPI, Flask, REST APIs, Server-Sent Events (SSE).
  • Databases & Search: Milvus, Pgvector, Qdrant, Redis (caching).
  • Front-End Integration: Streamlit, Gradio, basic React/Next.js.
  • Testing & Guardrails: pytest, JUnit, LangSmith evaluation, NeMo Guardrails.
  • DevOps & Cloud: Docker, GCP (Vertex AI, Cloud Run, GKE), Git.

Required Certifications:
  • Professional certifications specific to AI/ML (e.g., Certified AI Professional / CAIP, Google Cloud ML Engineer) considered a plus.

Interview
  • Number of Interviews: 1,
  • Web Conference (Zoom/ TEAMs)
  • Live problem-solving and technical exercise during the interview.

Apply