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Vector Databases Jobs in Saint Charles, MO (NOW HIRING)

Staff Software Engineer

Saint Louis, MO · On-site

$110K - $165K/yr

  • Medical

  • Retirement

  • PTO

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.

New

Staff Software Engineer

Saint Louis, MO · On-site

$110K - $165K/yr

  • Medical

  • Retirement

  • PTO

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.

Data Engineer - Top Secret Clearance

Saint Louis, MO · On-site

$140K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... with vector databases (e.g., OpenSearch k-NN), or building AI-driven data products. • Experience with Debezium for CDC and Vector (by Datadog) for observability and data routing. • Proven ...

Data Engineer - Top Secret Clearance

Saint Louis, MO

$140K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Applied knowledge of integrating AI/ML models into data pipelines, working with vector databases (e.g., OpenSearch k-NN), or building AI-driven data products. * Experience with Debezium for CDC and ...

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 ...

Senior AI Engineer

O Fallon, MO · Hybrid

$97K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Senior AI Engineer

O Fallon, MO · On-site

$97K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

ERP AI Engineer - Manager

Saint Louis, MO

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... with vector databases and semantic search architectures - Translating complex business problems into AI solution designs - Contributing to business development and proposal writing - Cloud ...

Software Engineer 2 (AI/GenAI)

Earth City, MO · On-site

$98 - $116/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leveraged vector databases, SQL Server, PostgreSQL, MongoDB, and related data technologies to support AI-driven solutions and scalable applications. Implemented containerization and orchestration ...

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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 Saint Charles, MO?

For Vector Databases jobs in Saint Charles, MO, the most frequently searched job titles are:

What job categories do people searching Vector Databases jobs in Saint Charles, MO look for?

The top searched job categories for Vector Databases jobs in Saint Charles, MO are:

Infographic showing various Vector Databases job openings in Saint Charles, MO 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.

Sr AI/ML Engineer local to St. Louis, MO

FEDRUS GLOBAL LLC

Saint Louis, MO • On-site

$99K - $136K/yr

Other

Posted 4 days ago


Job description

We are looking for a skilled AI/ML Developer to join our agentic platform team. You will design, develop, and deploy LLM-powered agents and pipelines that directly serve field technicians in production. You will work closely with the platform architect and contribute to the core multi-agent orchestration system.

Required Skills & Experience

Must-Have

- 10+ years of software development with strong Python expertise in production environments

- 2+ years hands-on LLM development (LangChain, LangGraph, or equivalent frameworks)

- RAG pipeline experience - embeddings, vector search, re-ranking, answer generation

- LLM APIs - OpenAI Chat Completions, Responses API, streaming, tool calling

- Async Python - asyncio, httpx, FastAPI

- Prompt engineering - system prompts, few-shot, structured JSON output

- Circuit breaker patterns, retry logic, resilient service design

- PostgreSQL and async ORMs (SQLAlchemy async / Alembic)

- Git, CI/CD, Docker, Kubernetes basics

- Strong system design skills - microservices, distributed systems, API design

Nice-to-Have

- LangGraph StateGraph (conditional edges, node pipelines, compiled graphs)

- Multi-agent systems - orchestration, routing, RBAC-based access control

- Langfuse or similar LLM observability (tracing, token usage, latency)

- WebSocket and SSE streaming protocols

- Multi-modal AI (vision models, image analysis)

- Vector databases (OpenSearch, Pinecone, pgvector)

- AWS services (Aurora PostgreSQL, SSM, IAM, EKS)

- Telecommunications or field service domain experience