1

Qdrant Jobs in Dallas, TX (NOW HIRING)

AI/ML Engineer

Plano, TX · On-site

$120 - $160/hr

Deep operational expertise with vector databases, such as Pinecone, Milvus, Weaviate, or Qdrant. * AWS Solutions Architect, AWS DevOps Engineer, or equivalent industry certifications.

AI/ML Engineer

Plano, TX · On-site

$65 - $75/hr

Deep operational expertise with vector databases, such as Pinecone, Milvus, Weaviate, or Qdrant. * AWS Solutions Architect, AWS DevOps Engineer, or equivalent industry certifications.

Azure AI Search, Pinecone, Qdrant, FAISS * Databases: SQL Server, Azure Cosmos DB, PostgreSQL * DevOps: GitHub Actions CI/CD, Docker, Kubernetes, Terraform * Observability: Azure Monitor, Prometheus ...

Data Engineer - Dallas, TX

Dallas, TX · On-site

$113K - $136K/yr

Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval. * Chunking & Embedding Strategies:

Data Engineer - Dallas, TX

Dallas, TX · On-site

$113K - $136K/yr

Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval. * Chunking & Embedding Strategies:

Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval. * Chunking & Embedding Strategies:

Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval. * Chunking & Embedding Strategies:

Senior Software Engineer

Irving, TX · On-site

$73K - $174K/yr

Experience working with vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or Azure AI Search. The base compensation range for this role in the posted location is: $73,150 to $174,000 ...

Senior Software Engineer

Dallas, TX · On-site

$73K - $174K/yr

Experience working with vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or Azure AI Search. The base compensation range for this role in the posted location is: $73,150 to $174,000 ...

Data Architect

Dallas, TX

$63 - $81/hr

Hands-on AI/ML data infrastructure experience: vector databases (pgvector, Pinecone, Weaviate, Qdrant), embedding pipelines, retrieval patterns. You have shipped a RAG system that worked and you know ...

Data Architect

Dallas, TX · On-site

$63 - $81/hr

Hands-on AI/ML data infrastructure experience: vector databases (pgvector, Pinecone, Weaviate, Qdrant), embedding pipelines, retrieval patterns. You have shipped a RAG system that worked and you know ...

Data Architect

Dallas, TX · On-site

$63 - $81/hr

Hands-on AI/ML data infrastructure experience: vector databases (pgvector, Pinecone, Weaviate, Qdrant), embedding pipelines, retrieval patterns. You have shipped a RAG system that worked and you know ...

Qdrant information

What is the difference between Qdrant vs Data Scientist?

AspectQdrantData Scientist
Required CredentialsTechnical certifications, knowledge of vector databasesDegree in Data Science, Statistics, or related field
Work EnvironmentTech companies, startups, AI-focused firmsResearch labs, tech companies, consulting firms
Industry UsageAI, machine learning, data storageData analysis, predictive modeling, research

Qdrant primarily focuses on managing and deploying vector similarity search databases, requiring technical skills in database management and AI tools. Data Scientists analyze data, build models, and interpret results. While both roles operate within the tech and AI industry, Qdrant specialists are more technical and infrastructure-oriented, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Qdrant jobs in Dallas, TX?

For Qdrant jobs in Dallas, TX, the most frequently searched job titles are:

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

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

What cities near Dallas, TX are hiring for Qdrant jobs?

Cities near Dallas, TX with the most Qdrant job openings:

Infographic showing various Qdrant job openings in Dallas, TX as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 64% Physical, 5% Hybrid, and 31% Remote job distribution.

AI/ML Engineer

CCS INC

Plano, TX • On-site

$120 - $160/hr

Other

Medical, Dental, Vision

Re-posted 10 days ago


Job description

Benefits:
  • Bonus based on performance
  • Dental insurance
  • Health insurance
  • Vision insurance
Qualifications
  • Bachelor’s Degree
  • 6+ years cloud architecture experience
  • 3+ years building production GenAI/LLM systems on AWS.
  • Strong Python and AWS expertise, including Lambda, ECS/EKS, S3, SageMaker, Docker and Kubernetes.
  • Production experience with vector databases and designing ingestion + embedding pipelines for both batch and streaming workloads.
  • Hands-on with prompt design, evaluation, LLM orchestration, and RAG implementation patterns.
  • Experience deploying and operating model-serving or MCP – like server infrastructure (selfhosted or managed).
  • Proficient with IaC and delivery tooling, including Terraform/CloudFormation, GitOps, and CI pipelines.
  • Experience with model-serving infrastructure, such as Amazon SageMaker, NVIDIA Triton, Ray Serve, or similar platforms.
  • Hands-on experience with GenAI libraries and frameworks, including LangChain, LlamaIndex, Hugging Face, and OpenAI APIs.
  • Deep operational expertise with vector databases, such as Pinecone, Milvus, Weaviate, or Qdrant.
  • AWS Solutions Architect, AWS DevOps Engineer, or equivalent industry certifications.
Responsibilities
  • Cloud Architecture & Infrastructure, Design scalable, secure AWS architectures
  • LLM & GenAI Platforms, Lead integration of API-based and self-hosted LLMs, implement RAG solutions
  • Prompting & Evaluation, Develop prompt engineering strategies, reusable templates, and evaluation frameworks
  • Vector Databases & Retrieval Pipelines, Implement and maintain vector stores (OpenSearch, Pinecone, Milvus, Qdrant)
  • Data Ingestion & Processing Pipelines
  • Microservices & Serverless Systems
  • Python Development & AI Tooling
  • Security, Governance & Cross-Functional Leadership
#J-18808-Ljbffr