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Vector Ai Jobs in Worcester, MA (NOW HIRING)

BIRDSVUE LLC

Full Stack AI Engineer

Dunstable, MA · Remote

$60 - $70/hr

Develop Retrieval-Augmented Generation (RAG) solutions using embeddings, vector databases, document indexing, and knowledge retrieval systems. * Integrate AI models with enterprise systems, APIs ...

Motorola

Senior AI Engineer (US Remote)

Waltham, MA · Remote

$180K - $210K/yr

OpenSearch & Vector Databases * RAG (Retrieval-Augmented Generation) architectures * Agentic frameworks (LangChain, LlamaIndex, or AWS Bedrock Agents) Development Stack: * Python (AI/ML development ...

TrnDigital

Be Seen First

AI Architect

Newton, MA · Remote

$180K - $220K/yr

Strong experience with RAG architectures, vector databases, and Azure AI services (Azure AI Search, Azure Document Intelligence). * Experience working with evaluation concepts and frameworks such as ...

Navtech, Inc.

AI Architect

Woonsocket, RI · On-site +1

GenAI models, AI pipelines, model fine-tuning, prompt engineering, RAG architectures, vector stores, MCP, AI-related frameworks (e.g. Langchain), AI agents (e.g. LangGraph), modern application ...

Waters Corporation

AI Architect

Milford, MA · On-site

Strong understanding of modern AI architecture concepts such as RAG, semantic search, vector databases, prompt design, and AI integration patterns * Experience with at least one major cloud platform ...

Waters Corporation

AI Architect

Milford, MA · On-site

$69 - $91/hr

Strong understanding of modern AI architecture concepts such as RAG, semantic search, vector databases, prompt design, and AI integration patterns * Experience with at least one major cloud platform ...

Waters Corporation

AI Architect

Milford, MA · On-site

Strong understanding of modern AI architecture concepts such as RAG, semantic search, vector databases, prompt design, and AI integration patterns * Experience with at least one major cloud platform ...

Waters Corporation

AI Engineer II

Milford, MA · On-site

$106K - $146K/yr

Understandings of LLMs, RAG, vector search, and agentic workflows. Nice-to-Have / Plus Qualifications * Graduate-level AI research experience. * Experience building software applications, APIs, or ...

Waters Corporation

AI Engineer II

Milford, MA

$106K - $146K/yr

Understandings ofLLMs, RAG, vector search,and agentic workflows. Nice-to-Have / Plus Qualifications * Graduate-level AI research experience. * Experience building software applications, APIs, or ...

Staples, Inc.

Sr Manager AI Platforms

Framingham, MA · On-site

$130K - $171K/yr

Experience with GenAI platforms, large language models, agentic AI frameworks, prompt orchestration, vector databases, retrieval-augmented generation, or AI application development patterns.

Staples, Inc.

Sr Manager AI Platforms

Framingham, MA

$130K - $171K/yr

Experience with GenAI platforms, large language models, agentic AI frameworks, prompt orchestration, vector databases, retrieval-augmented generation, or AI application development patterns.

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All JobsVector Ai JobsVector Ai Jobs in Worcester, MA

Vector Ai information

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How much do vector ai jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for vector ai in Worcester, MA is $15.12, according to ZipRecruiter salary data. Most workers in this role earn between $9.62 and $17.50 per hour, depending on experience, location, and employer.

What is a Vector AI?

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.

What are the key skills and qualifications needed to thrive as a Vector AI engineer?

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 are popular job titles related to Vector Ai jobs in Worcester, MA?

For Vector Ai jobs in Worcester, MA, the most frequently searched job titles are:

What job categories do people searching Vector Ai jobs in Worcester, MA look for?

The top searched job categories for Vector Ai jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Vector Ai jobs?

Cities near Worcester, MA with the most Vector Ai job openings:

Vector Ai jobs near you

Full Stack AI Engineer

BIRDSVUE LLC

Dunstable, MA • Remote

$60 - $70/hr

Full-time

Retirement

Posted 28 days ago

Job description

Benefits:
  • 401(k)
  • Competitive salary

Full Stack AI EngineerIntroduction: We are seeking a highly motivated Full Stack AI Engineer who can design, build, and scale production-grade AI applications from concept to deployment. You will work directly with product leadership and customers to create intelligent systems leveraging LLMs, AI agents, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and modern cloud-native architectures.
Responsibilities:
AI & Agentic Systems
  • Design and develop AI-powered applications using OpenAI, Azure OpenAI, Anthropic, Gemini, and open-source models.
  • Build multi-agent and agentic workflows using LangGraph, LangChain, Semantic Kernel, CrewAI, or equivalent frameworks.
  • Develop Retrieval-Augmented Generation (RAG) solutions using embeddings, vector databases, document indexing, and knowledge retrieval systems.
  • Integrate AI models with enterprise systems, APIs, SaaS platforms, and business workflows.
  • Design prompt orchestration, evaluation frameworks, guardrails, observability, and AI governance controls.
Full Stack Development
  • Build scalable frontend applications using React, Next.js, TypeScript, and modern UI frameworks.
  • Develop backend services, APIs, microservices, and event-driven architectures using Python (FastAPI), Node.js, or .NET.
  • Design and optimize SQL and NoSQL databases.
  • Implement authentication, authorization, and secure enterprise-grade integrations.
  • Create reusable APIs and SDKs for AI capabilities across multiple products.
Cloud & Platform Engineering
  • Deploy AI applications on Azure, AWS, or Google Cloud Platform.
  • Build containerized services using Docker and Kubernetes.
  • Implement CI/CD pipelines, infrastructure-as-code, monitoring, and observability.
  • Optimize AI infrastructure for scalability, performance, and cost efficiency.
Product & Innovation
  • Partner with product managers and customers to translate business challenges into AI solutions.
  • Rapidly prototype and productionize AI use cases.
  • Evaluate emerging AI technologies and recommend adoption strategies.
  • Contribute to AI platform roadmap and innovation initiatives.
Requirements:
Required Qualifications:
  • Bachelor''s degree in Computer Science, Engineering, or related field.
  • 5+ years of full-stack software development experience.
  • Strong proficiency in: 
    • Python
    • TypeScript / JavaScript
    • React / Next.js
    • Node.js or FastAPI
  • Experience building REST APIs and microservices.
  • Hands-on experience with: 
    • OpenAI / Azure OpenAI APIs
    • RAG architectures
    • Vector databases (Pinecone, Weaviate, FAISS, Chroma, Azure AI Search)
    • LangChain, LangGraph, Semantic Kernel, or similar frameworks
  • Experience with Docker, Kubernetes, and cloud-native architectures.
  • Strong understanding of software engineering best practices, testing, CI/CD, and Agile development.

This is a remote position.