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Vector Databases Jobs in Dallas, TX (NOW HIRING)

Infovision

AI Engineer

Dallas, TX · On-site

... vector databases Proficient in Knowledge Graph design and implementation -- Neo4j, RDF, SPARQL, and graph-based reasoning for AI applications Strong background in Data Engineering -- ETL/ELT ...

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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 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 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 popular job titles related to Vector Databases jobs in Dallas, TX?

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What job categories do people searching Vector Databases jobs in Dallas, TX look for?

The top searched job categories for Vector Databases jobs in Dallas, TX are:

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Cities near Dallas, TX with the most Vector Databases job openings:

Vector Databases jobs near you

Applied AI Specialist - Cloud Full Stack

Computer Task Group, Inc

Dallas, TX • On-site

Full-time

Posted 22 days ago

Job description

Overview

CTG is seeking to fill an Applied AI Specialist – Cloud Full Stack position for our client.

Join an innovative team developing enterprise AI solutions using Generative AI, Large Language Models (LLMs), and cloud-native technologies. You'll build intelligent applications utilizing RAG, agentic AI, vector databases, and modern machine learning frameworks while deploying scalable solutions across AWS, Azure, and IBM Cloud.

This opportunity is ideal for an AI engineer or full stack AI developer passionate about building next-generation intelligent applications using modern cloud and Generative AI technologies.

Location: Dallas, TX
Duration: 11 months

Key Responsibilities:

  • Build and deploy AI/ML applications using Python and cloud technologies.
  • Develop LLM, RAG, and agentic AI solutions with LangChain and LangGraph.
  • Create scalable APIs and AI services using Kubernetes and CI/CD pipelines.
  • Design vector search, embeddings, and semantic retrieval solutions.
  • Evaluate and optimize LLM performance through prompt engineering, guardrails, and automated evaluation frameworks.
  • Partner with business and technical teams to deliver production-ready AI solutions.

Required Skills:

  • Python, SQL
  • LangChain, LangGraph, Agentic AI
  • LLMs, Prompt Engineering, RAG, FAISS, Vector Databases
  • Hugging Face, Transformers, BERT
  • Scikit-learn, XGBoost, PyTorch, TensorFlow
  • REST APIs, Git, CI/CD, Kubernetes
  • AWS SageMaker, Azure ML Studio, IBM Cloud
  • Strong debugging, analytical, and problem-solving skills

Preferred Skills:

  • MCP
  • GraphRAG
  • MLflow, Databricks, Docker, AWS Lambda, Amazon S3
  • Model Drift Monitoring and Observability
  • React, Node.js, TypeScript

Education:

  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related technical field, or equivalent experience.
  • Master's degree in Artificial Intelligence, Machine Learning, Computer Science, or a related discipline is preferred.

Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services for this role.

To Apply:
To be considered, please apply directly to this requisition using the link provided. Kindly forward this to any other interested parties. Thank you!

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About Computer Task Group

Sourced by ZipRecruiter

We know that achieving our mission begins and ends with our people—and by people we mean you. Regardless of individual roles or responsibilities, regardless of industry or subject matter expertise, our lives happen in relation to other people—our colleagues, clients, and partners. CTG cultivates a workplace that attracts and develops the best people. Being Great Place to Work-CertifiedTM not only supports our Vision but also validates the rewarding workplace culture that has made CTG a leading IT and digital solutions and services company for more than 55 years.

Company size

1,001 - 5,000 Employees

Headquarters location

Buffalo, NY, US

Year founded

1966

Social media

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