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Vector Databases Jobs in Detroit, MI (NOW HIRING)

FastTek

Machine Learning Engineer

Dearborn, MI

$105K - $126K/yr

Vector Databases**. * Proficiency in Python programming. * Solid experience with SQL for data manipulation and querying. * Hands-on experience with Google Cloud Platform (GCP) services relevant to AI ...

Optimal Inc.

Agentic AI Engineer

Warren, MI · On-site

Experience with tools and ecosystems such as vector databases, APIs, and distributed systems is a plus * Strong problem-solving skills and ability to work in research-oriented, collaborative ...

Optimal Inc.

Agentic AI Engineer

Warren, MI · On-site

Experience with tools and ecosystems such as vector databases, APIs, and distributed systems is a plus * Strong problem-solving skills and ability to work in research-oriented, collaborative ...

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases * Experience with Automotive Data / Industry * Experience with Agile / Scrum Primary ...

Hearst Newspapers

Full-Stack Data Engineer

Troy, MI

Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases * Experience with Automotive Data / Industry * Experience with Agile / Scrum Primary ...

Hearst

Full-Stack Data Engineer

Troy, MI

Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases * Experience with Automotive Data / Industry * Experience with Agile / Scrum Primary ...

Hearst

Full-Stack Data Engineer

Troy, MI

Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases * Experience with Automotive Data / Industry * Experience with Agile / Scrum Primary ...

Hearst

Full-Stack Data Engineer

Troy, MI

Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases * Experience with Automotive Data / Industry * Experience with Agile / Scrum Primary ...

Hearst Newspapers

Full-Stack Data Engineer

Troy, MI

Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases * Experience with Automotive Data / Industry * Experience with Agile / Scrum Primary ...

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases * Experience with Automotive Data / Industry * Experience with Agile / Scrum Primary ...

Hearst

Full-Stack Data Engineer

Troy, MI

Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases * Experience with Automotive Data / Industry * Experience with Agile / Scrum Primary ...

Hearst Newspapers

Full-Stack Data Engineer

Troy, MI

Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases * Experience with Automotive Data / Industry * Experience with Agile / Scrum Primary ...

Hearst Television

Full-Stack Data Engineer

Troy, MI

Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases * Experience with Automotive Data / Industry * Experience with Agile / Scrum Primary ...

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Showing results 1-20

All JobsVector Databases JobsVector Databases Jobs in Detroit, MI

Vector Databases information

What are vector databases?

Vector databases are specialized databases designed to store, manage, and search high-dimensional vector data, which is commonly generated from machine learning models, such as embeddings from natural language processing or image recognition. They enable efficient similarity search operations, such as finding the most similar items to a given query vector, which is essential for applications like recommendation systems, semantic search, and AI-powered search engines. Unlike traditional databases that handle structured or unstructured data, vector databases are optimized for fast and scalable similarity searches on large datasets of vectors.

What are some common challenges faced when working with vector databases, and how can they be addressed?

Professionals working with vector databases often encounter challenges such as efficiently scaling to handle large datasets, ensuring low-latency similarity searches, and integrating the database with machine learning pipelines. To address these, teams typically implement distributed architectures, fine-tune indexing strategies, and collaborate closely with data engineers and machine learning specialists. Staying updated with the latest developments in vector database technologies and maintaining clear communication with cross-functional teams are also key to overcoming these challenges.

What is the difference between Vector Databases vs Data Engineers?

AspectVector DatabasesData Engineers
Required SkillsDatabase management, data modeling, query optimizationData pipeline development, ETL processes, programming
Work EnvironmentData storage systems, AI/ML projects, cloud platformsData infrastructure, cloud environments, big data tools
Industry UsageAI, machine learning, recommendation systemsData integration, analytics, data architecture

While Vector Databases focus on storing and querying high-dimensional vector data for AI applications, Data Engineers build and maintain data pipelines and infrastructure to support data analysis and machine learning workflows. Both roles are essential in data-driven industries but serve different functions within the data ecosystem.

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

Success as a Vector Database Engineer requires a strong background in computer science, database management, and experience with machine learning or AI-driven data systems. Familiarity with vector database platforms (such as Pinecone, Milvus, or Weaviate), cloud infrastructure, and proficiency in languages like Python are typically expected. Strong problem-solving skills, effective communication, and the ability to work cross-functionally help engineers stand out. These competencies are vital to efficiently design, deploy, and maintain scalable vector search solutions that power modern AI applications.
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Vector Databases jobs near you
Emerging Tech Developer

Emerging Tech Developer

Ancor Automotive LLC

Troy, MI

Full-time

Posted 14 days ago

Job description

The Opportunity

Are you a self-driven developer who thrives on solving real problems and delivering tangible results? Do you get excited about the intersection of solid engineering fundamentals and cutting-edge AI? We're seeking an outcome-focused Emerging Tech Developer who combines proven full-stack expertise with an insatiable curiosity for programmatically working with AI and LLM systems. This opportunity is for local candidates only ? in person attendance required for role ? authorized to work in the US permanently.

This isn't a role for someone waiting to be told what to do?this is for builders who see opportunities, take initiative, and continuously push themselves to grow. 

What You'll Do

Drive Results

  • Own the complete development lifecycle from concept to deployment, delivering working solutions that solve business problems
  • Build production-quality prototypes and innovation solutions that demonstrate clear value and move quickly from idea to implementation
  • Take ownership of technical decisions, proactively identifying the best approaches to achieve outcomes within time and budget constraints
  • Transform business requirements into elegant technical solutions without waiting for perfect specifications

Build & Innovate

  • Develop modern, responsive web applications using React/Next.js and the JavaScript ecosystem
  • Design and implement efficient database architectures with SQL Server, writing optimized queries and stored procedures
  • Programmatically integrate AI LLM capabilities (Claude, Grok, and emerging models) into applications to solve real-world problems
  • Experiment with and implement Retrieval Augmented Generation (RAG), embeddings, vector databases, and other AI-driven architectures
  • Create seamless full-stack experiences from database to user interface
  • Work with Ancor's internal procedures and forms, ensuring compliance and documentation standards

Learn & Lead

  • Stay ahead of the curve on AI/LLM developments, constantly exploring how to leverage new capabilities programmatically
  • Refactor and optimize existing code, bringing modern best practices to legacy systems
  • Share knowledge with the team, documenting discoveries and contributing to our collective expertise
  • Identify opportunities for improvement before they become problems

Apply