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Vector Databases Jobs in Missouri (NOW HIRING)

Merck Group

Staff Software Engineer

Saint Louis, MO · On-site

$110K - $165K/yr

Vector Databases like Qdrant Nice to have Skills: * Experience with Kubernetes and container orchestration. * Familiarity with event-driven architectures and messaging platforms such as Kafka.

eTeam

Kafka Expert with Agentic AI Skills

Saint Louis, MO · On-site

$54.25 - $71.75/hr

... vector databases. • Experience integrating Kafka with cloud-native data services. • Experience working in large-scale enterprise environments. Company : eTeam is a staffing agency that also ...

MasterCard

Senior AI Engineer

O Fallon, MO · Hybrid

$97K - $134K/yr

Build production-grade RAG and Graph-RAG systems integrating vector databases (Pinecone, pgvector, OpenSearch) and knowledge graphs (Neo4j, AWS Neptune) for semantic retrieval, entity-aware reasoning ...

Walmart

(USA) Staff, Software Engineer

Cassville, MO · On-site

$110K - $220K/yr

Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures. * Exposure to Anthropic ecosystem concepts such as ...

Walmart

(USA) Staff, Software Engineer

Noel, MO · On-site

$110K - $220K/yr

Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures. * Exposure to Anthropic ecosystem concepts such as ...

Walmart

(USA) Staff, Software Engineer

Anderson, MO · On-site

$110K - $220K/yr

Hands on AI engineering experience in using LLMs, prompt engineering, embeddings, vector databases, semantic search, or RAG-based architectures. * Exposure to Anthropic ecosystem concepts such as ...

Pwc

ERP AI Engineer - Senior Associate

Kansas City, MO · On-site

$77K - $202K/yr

... with vector databases and embedding models - Track record of fine-tuning models on domain-specific data - Experience processing and managing data pipelines - Contributions to open-source AI/ML ...

Pwc

ERP AI Engineer - Senior Associate

Saint Louis, MO · On-site

$77K - $202K/yr

... with vector databases and embedding models - Track record of fine-tuning models on domain-specific data - Experience processing and managing data pipelines - Contributions to open-source AI/ML ...

Mastercard, Inc.

Senior AI Engineer

O Fallon, MO · On-site

$97K - $134K/yr

... vector databases (Pinecone, pgvector, OpenSearch) and knowledge graphs (Neo4j, AWS Neptune) for semantic retrieval, entity-aware reasoning, and grounded generation. • Lead LLM fine-tuning, prompt ...

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All JobsVector Databases JobsVector Databases Jobs in Missouri

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.
What are popular job titles related to Vector Databases jobs in Missouri? For Vector Databases jobs in Missouri, the most frequently searched job titles are:
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What cities in Missouri are hiring for Vector Databases jobs? Cities in Missouri with the most Vector Databases job openings:
Vector Databases jobs near you
Infographic showing various Vector Databases job openings in Missouri as of August 2026, with employment types broken down into 87% Full Time, 5% Part Time, 1% Temporary, and 7% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Java AI Consultant

TechSpace Solutions Inc.

Saint Louis, MO • On-site

Other

Posted 9 days ago

Job description

Job Title: Java AI Consultant
Location: Saint Louis, MO 63131 (Onsite)
Duration: 12+ Months
Key Responsibilities:
Design and architect enterprise-grade AI/ML-powered Java applications on AWS cloud infrastructure Define technical standards, patterns, and best practices for AI integration within Java ecosystems Lead end-to-end architecture for microservices, APIs, and data pipelines supporting ML model serving Conduct architecture reviews, threat modeling, and performance benchmarking Mentor senior engineers and guide cross-functional teams on AI-first design principle
Required Skills:
  • Core Java & Architecture
  • Java 21+, Spring Boot, Spring AI
  • Microservices, event-driven architecture (Kafka, SQS/SNS) REST/GraphQL API design, gRPC Design patterns, Enterprise architecture and scaling AI / ML Integration
  • Experience with Agentic AI / multi-agent frameworks at enterprise scale.
  • LLM integration via Anthropic Claude API, OpenAI, or AWS Bedrock RAG architectures, vector databases (OpenSearch, Pinecone, pgvector) Model serving, inference optimization, prompt engineering Spring AI, Langgraph, Google ADK, A2A, MCP.
  • Prompt Engineering, prompt caching, Token optimization.
  • AWS
  • Core: EC2, ECS/EKS, Lambda, API Gateway, S3, RDS/Aurora, IAM, KMS, Secrets Manager, VPC security
  • AI: Bedrock, Agent Core.

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