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Vector Ai Jobs (NOW HIRING)

Central Business Solutions

AI Engineer

Hillsboro, OR · On-site

Focus on inference orchestration, vector search pipelines, and lightweight model training for predictive maintenance use cases. Key Responsibilities LLM & Inference Engineering: Develop AI-driven ...

Falconer AI

Founding AI Engineer

San Francisco, CA · On-site

$200K - $300K/yr

We're looking for a Founding AI Engineer to help us build an AI-powered knowledge platform that ... Research and apply best practices in terms of Knowledge Graph, embeddings, vector and graph RAG ...

Cynet Systems

AI Scientist / AI Architect

Irvine, CA

$75 - $80/hr

Build agent-based AI workflows, automation systems, and retrieval-based architectures (RAG, vector search, embeddings). * Architect and implement LLM orchestration layers supporting content ideation ...

TUPPL Technology Inc

AI /ML Engineer

Fort Mill, SC · On-site +1

Key Responsibilities • Design and develop Generative AI solutions using AWS Bedrock and foundation models. • Build and optimize RAG (Retrieval-Augmented Generation) pipelines using vector ...

Diverse Lynx

AI/ML Engineer

Los Angeles, CA

AI/ML Engineer Job Location: Mason, OH /Woodland Hills, CA Job Type: Full Time (Day 1 Onsite ... Vector database integration * Databases * Vector Databases * MongoDB * Production-grade ML ...

Brillius

AI Architect

Miami, FL · On-site

Job Title AI Architect Estimated Start Date ASAP Location Miami, FL Duration(Months) 6 months ... vector search, and LLM-based knowledge platforms. • Strong hands-on experience with: o Python o ...

Texas State Library and Archives Commision

AI Engineer

$107K - $146K/yr

Work with vector databases, embeddings, and knowledge retrieval systems. Optimize AI systems for performance, latency, and cost efficiency. Collaborate with cross-functional teams to translate ...

Programmers.io

Azure AI/ML Engineer

Bellevue, WA · On-site

$62 - $77/hr

AI,C#,ASP.NET 4.5,Java,LLM,Python,Vector,Semantic Kernel, AI Foundry ,LLMs (Azure OpenAI, OpenAI, Anthropic,MicroServices,Azure DevOps,Docker,Kubernetes Role Descriptions: 8 years of Strong ...

JConnect Infotech

Senior AI/ML Engineer

Woodland Hills, CA

$109K - $150K/yr

Vector database integration * Databases * Vector Databases * MongoDB * Production-grade ML Engineering * Scalable, production-ready ML/GenAI solutions Key Responsibilities * Design and implement AI ...

H R PUNDITS INC

Senior AI/ML Engineer

Boise, ID · Remote

$130K/yr

Senior AI/ML Engineer (Vector Store & Retrieval Systems) Location: Remote 10+ years in AI/ML or Data Engineering (healthcare domain preferred) to design, benchmark, and optimize text embedding and ...

Globalchannelmanagement

Remote AI Architect

Boston, MA · Remote

$90 - $92/hr

Background in RAG systems, model fine tuning, embeddings, vector storage, and retrieval ... AI Architect duties: Provide architectural oversight across AI/ML projects to ensure consistency ...

Noblesoft Technologies Inc.

AI Architect

Paramus, NJ · Hybrid

$63.75 - $84/hr

Architect solutions using BigQuery, Lakehouse, and Vector Databases. 4. AI Platform & MLOps Architecture * Design scalable MLOps pipelines for training, deployment, and monitoring. * Define CI/CD ...

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Vector Ai information

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How much do vector ai jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for vector ai in the United States is $15.16, according to ZipRecruiter salary data. Most workers in this role earn between $9.62 and $17.55 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Vector AI Engineer, and why are they important?

To thrive as a Vector AI Engineer, you need strong foundations in mathematics, machine learning, and computer science, often supported by a degree in a related field. Expertise with vector databases (such as Pinecone or FAISS), programming languages like Python, and knowledge of frameworks like TensorFlow or PyTorch are typically required. Excellent problem-solving, analytical thinking, and effective communication skills help you translate complex business requirements into scalable AI solutions. These qualifications are crucial for developing, deploying, and maintaining efficient AI systems that leverage vector search and representation for real-world applications.

What are some common challenges faced by professionals working in Vector AI roles, and how can they be addressed?

Professionals in Vector AI roles often face challenges such as managing large-scale, high-dimensional data, ensuring model scalability, and optimizing search algorithms for speed and accuracy. Collaborating closely with data engineers, software developers, and product managers is crucial to integrate AI vector solutions effectively into products. Staying updated on the latest advancements in vector databases and similarity search techniques can also be demanding, so continuous learning and participation in relevant communities are highly beneficial. Adopting best practices for model evaluation and experiment tracking can help address these challenges and drive project success.

What is the difference between Vector Ai vs Data Analyst?

AspectVector AiData Analyst
Required CredentialsTechnical certifications, programming skillsDegree in statistics, data science, or related field
Work EnvironmentTech companies, AI development teamsBusiness, finance, healthcare sectors
Industry UsageAI, machine learning, software developmentData interpretation, reporting, decision support

Vector Ai professionals focus on developing and implementing AI algorithms, requiring technical skills and programming knowledge. Data Analysts interpret data to inform business decisions, often working with statistical tools. While both roles handle data, Vector Ai is more specialized in AI technology, whereas Data Analysts focus on data insights and reporting.

What is a Vector AI and what do they do?

Vector AI typically refers to professionals or technologies focused on vector-based artificial intelligence, which involves the use of high-dimensional vectors to represent data and perform machine learning tasks. These experts work on algorithms that process and analyze vector data for applications like image recognition, natural language processing, and recommendation systems. Their work is crucial in making AI systems more efficient at understanding complex patterns in large datasets. In some contexts, 'Vector AI' may also refer to companies or platforms developing such technologies.
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Vector Ai jobs near you
Infographic showing various Vector Ai job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $31,529 per year, or $15.2 per hour.

Data Scientist / AI Engineer (LLM & Agentic AI)

Tror AI for everyone

Atlanta, GA • On-site

Contractor

Posted 4 days ago

Job description

Role: Data Scientist / AI Engineer (LLM & Agentic AI)

Location: Atalanta, GA

Duration: Contract

Only H1B

Summary:
Looking for candidates with strong Python-based data science and machine learning experience, along with hands-on expertise in LLMs and agentic AI development on platforms like Databricks or Cloudera.

Key Responsibilities

  • Build and deploy ML/AI models using Python
  • Develop LLM-powered applications (RAG, chatbots, copilots)
  • Design agentic AI workflows using tools like LangChain or LlamaIndex
  • Work with large-scale data pipelines and distributed systems (Spark/PySpark)
  • Integrate LLM APIs (e.g., OpenAI)

Required Skills

  • Strong Python + ML/NLP fundamentals
  • Experience with Generative AI / LLMs
  • Hands-on with Databricks or Cloudera
  • Knowledge of RAG, prompt engineering, vector DBs