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Vector Databases Jobs in Denver, CO (NOW HIRING)

HirexHire

Data Engineering Lead

Denver, CO · Hybrid

$118K - $141K/yr

Understanding of Gen AI concepts including LLMs, RAG (Retrieval-Augmented Generation), and vector databases. WHAT OUR CLIENT OFFERS YOU * Supportive Company Culture * Global, Dynamic, and Diverse ...

HirexHire

Data Engineering Lead

Denver, CO · On-site

$117K - $141K/yr

Understanding of Gen AI concepts including LLMs, RAG (Retrieval-Augmented Generation), and vector databases. WHAT OUR CLIENT OFFERS YOU * Supportive Company Culture * Global, Dynamic, and Diverse ...

HirexHire

Data Engineering Lead

Denver, CO · Hybrid

$118K - $141K/yr

Understanding of Gen AI concepts including LLMs, RAG (Retrieval-Augmented Generation), and vector databases. WHAT OUR CLIENT OFFERS YOU * Supportive Company Culture * Global, Dynamic, and Diverse ...

Datavail

Senior NoSQL Technical Specialist

Boulder, CO · On-site

$103K - $141K/yr

Time-series (InfluxDB, ScyllaDB, Timestream), Key-Value (Redis,Valkey, DynamoDB), Search (Elasticsearch/OpenSearch), AI and Vector Database support etc. * In-depth understanding of NoSQL Internals

Datavail

Senior NoSQL Technical Specialist

Boulder, CO · On-site

$103K - $141K/yr

Time-series (InfluxDB, ScyllaDB, Timestream), Key-Value (Redis,Valkey, DynamoDB), Search (Elasticsearch/OpenSearch), AI and Vector Database support etc. * In-depth understanding of NoSQL Internals

Datavail

Senior NoSQL Technical Specialist

Boulder, CO · On-site

$103K - $141K/yr

Time-series (InfluxDB, ScyllaDB, Timestream), Key-Value (Redis,Valkey, DynamoDB), Search (Elasticsearch/OpenSearch), AI and Vector Database support etc. * In-depth understanding of NoSQL Internals

IMA Financial Group

AI Engineering Lead

Denver, CO · On-site +1

$105K - $139K/yr

... vector databases, embedding pipelines, and retrieval systems • Strong problem-solving ability and bias toward practical, efficient solutions; ability to operate in a fast-moving, ambiguous ...

Vizient, Inc.

Sr AI/ML Engineer

Centennial, CO · On-site

$102K - $179K/yr

Experience with vector databases and embedding workflows required. * Familiarity with orchestration frameworks such as LangChain, LlamaIndex, or similar tools required. * Experience with CI/CD ...

Vizient

Sr AI/ML Engineer

Englewood, CO

$102K - $179K/yr

Experience with vector databases and embedding workflows required. * Familiarity with orchestration frameworks such as LangChain, LlamaIndex, or similar tools required. * Experience with CI/CD ...

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Showing results 21-40

All JobsVector Databases JobsVector Databases Jobs in Denver, CO

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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What cities near Denver, CO are hiring for Vector Databases jobs? Cities near Denver, CO with the most Vector Databases job openings:
Vector Databases jobs near you

Forward Deployment AI Engineer

GadellNet Consulting Services LLC

Greenwood Village, CO • On-site

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

GadellNet Consulting Services is a rapidly growing IT company based in the Midwest, providing technical solutions to hundreds of businesses across various markets. We are a family-friendly company and an Equal Opportunity Employer committed to building a creative, growth-oriented, and progressive work environment.
We believe that diverse perspectives strengthen our team and drive innovation, and we are intentional about creating an environment where all employees feel valued, respected, and empowered to bring their full selves to work.
As a Certified B Corporation, we are committed to considering the impact of our decisions on our employees, customers, suppliers, community, and environment. Join us in powering the missions of our team and our clients while making a difference in our communities. We encourage candidates to review our website to learn more about our values and company culture.
Position Summary:
GadellNet is looking for a Forward Deployment AI Engineer. As an FDE, you will work directly inside our clients' businesses-rolling up your sleeves to design, build, and deploy AI-powered solutions that create real operational impact. You won't be sitting behind a desk writing specs; you'll be on-site at small and mid-size businesses diagnosing inefficiencies, earning stakeholder trust, and shipping production-grade AI agents, automated workflows, and engineering solutions that change how these organizations run. This is a hands-on, client-facing engineering role built for someone who is as comfortable presenting to a business owner as they are writing Python. Candidates must be located in the Denver, Indianapolis, or St. Louis areas.
Key Responsibilities:
  • Embed directly with clients to discover operational pain points, map workflows, and identify high-ROI opportunities for AI and automation
  • Design and build AI agents using frameworks such as LangChain, LangGraph, AutoGen, or similar - including tool-use, memory, and multi-agent orchestration patterns
  • Develop AI-powered workflows that integrate with clients' existing systems (CRMs, ERPs, cloud platforms, communication tools, etc.)
  • Engineer automation solutions across areas such as document processing, data extraction, reporting, customer communication, and internal operations
  • Own the full delivery lifecycle-from scoping and architecture to build, testing, handoff, and lightweight documentation
  • Train and enable client teams to maintain and iterate on solutions post-deployment
  • Serve as a trusted technical advisor, translating complex AI capabilities into clear business value for non-technical stakeholders
  • Contribute internally by codifying reusable components, playbooks, and delivery templates that scale across the practice

Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field
  • Must be legally authorized to work in the United States without employer sponsorship now or in the future
  • 2+ years of professional experience in software engineering, AI/ML engineering, or a technical consulting role
  • Working proficiency in Python and familiarity with REST APIs and cloud services
  • Hands-on experience building with LLM APIs (OpenAI, Anthropic, Gemini, or similar)
  • Understanding of prompt engineering, RAG (Retrieval-Augmented Generation), and agentic workflow patterns
  • Ability to work independently in ambiguous, fast-moving client environments
  • Strong communication skills-you can explain a vector database to a CFO without losing them

Preferred Skills:
  • Experience with workflow automation platforms (Zapier, Make, n8n, or similar)
  • Familiarity with vector databases (Pinecone, Weaviate, Chroma) and embedding pipelines
  • Exposure to low-code/no-code tools alongside custom-code solutions
  • Prior client-facing, consulting, or forward-deployed engineering experience
  • Experience working with SMB clients across industries such as professional services, healthcare, logistics, or retail

Values:
GadellNet serves businesses in multiple markets with outsourced technical expertise. We are poised for continued growth and looking for team players excited to power missions through technology. At GadellNet, our core values guide our decision-making processes, the overall empowerment of our employees, and the assignment of responsibility within our teams.
Our team members support the values and goals of GadellNet, which fosters a one-of-a-kind service experience for our clients and establishes a culture that attracts and retains the top talent available in our markets.
At GadellNet, we live and celebrate our three core values:
  • Make an Impact
  • 100% Responsibility 0% Excuses
  • Grow or Die

Benefits:
GadellNet also offers the following benefits:
  • Health, vision, and dental insurance
  • Paid time off, including parental leave and volunteer time.
  • Flexible work environment
  • Access to mental health services
  • Employee matching donation program
  • 401k and employer matching

Eligibility to work in the US: GadellNet does not offer work visa sponsorship for this role. All candidates must be legally authorized to work in the United States at the time of application. Employment is contingent on verification of identity and eligibility to work in the United States.
If this role sounds like the right fit for you, we'd love to hear from you. Even if you don't meet every qualification, we encourage you to apply - you might be exactly what we need!

Apply