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Qdrant Jobs (NOW HIRING)

Automation Engineer

Cleveland, OH · On-site +1

$100K - $125K/yr

Familiarity with a vector database such as Qdrant, Pinecone, Weaviate or similar. * Strong troubleshooting skills to diagnose and resolve integration-related issues. * Familiarity with workflow ...

Familiarity with a vector database such as Qdrant, Pinecone, Weaviate or similar. * Strong troubleshooting skills to diagnose and resolve integration-related issues. * Familiarity with workflow ...

Automation Engineer

Cleveland, OH · On-site

$100K - $125K/yr

Familiarity with a vector database such as Qdrant, Pinecone, Weaviate or similar. * Strong troubleshooting skills to diagnose and resolve integration-related issues. * Familiarity with workflow ...

We use LlamaIndex and Qdrant today; we will evolve the stack as needed. * LLM integration with Anthropic Claude (primary), with multi-model routing where it makes sense. * Evaluation pipelines: how ...

Familiarity with a vector database such as Qdrant, Pinecone, Weaviate or similar. * Strong troubleshooting skills to diagnose and resolve integration-related issues. * Familiarity with workflow ...

Solution Consultant

Myrtle Point, OR · Remote

$125K - $155K/yr

Explain model choices and tradeoffs (e.g., OpenAI/Anthropic/Vertex/Bedrock), embeddings/vector stores (e.g., Pinecone/Qdrant/FAISS), and guardrails against prompt injection and data leakage. Demo ...

Showing results 41-60

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.

More about Qdrant jobs

What cities are hiring for Qdrant jobs?

Cities with the most Qdrant job openings:

What states have the most Qdrant jobs?

States with the most job openings for Qdrant jobs include:

Infographic showing various Qdrant job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 1% Part Time, and 6% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution.

Senior / Lead AI Platform Engineer (Full-Stack, Cloud, RAG & LLMs)

CloudQuest Solutions Inc

Ashburn, VA • On-site

Full-time

Re-posted 26 days ago


Job description


We're seeking a versatile Senior/Lead AI Engineer to architect and build secure, scalable AI solutions across the full stack. You'll work on LLM integration, RAG pipelines, backend services, frontend UI, Azure cloud infrastructure, DevOps, and security. This role is ideal for a strong generalist with deep experience in modern AI frameworks and cloud-native development.
Requirements
Responsibilities
  • Integrate and optimize LLMs (Azure OpenAI, Claude, Gemini) and build orchestration, prompts, and guardrails
  • Build RAG pipelines (LlamaIndex/Haystack/LangChain), vector search, and document ingestion workflows
  • Develop backend APIs/microservices (Python/Node.js) with secure auth (OAuth/OIDC, Entra ID)
  • Build and enhance chat-based UIs/admin dashboards (React/Next.js)
  • Deploy cloud-native services to Azure; implement IaC, CI/CD, monitoring, and logging
  • Ensure data protection, RBAC, encryption, and secure development practices
Required Qualifications
  • 7+ years software engineering experience
  • Strong Python or Node.js skills
  • Hands-on LLM and RAG experience
  • Familiarity with Azure cloud services
  • Strong understanding of OAuth/OIDC and identity systems
  • Experience with React or similar UI frameworks
  • DevOps and CI/CD experience
  • Strong system design and problem-solving skills
Preferred
  • Experience with LlamaIndex, Haystack, LangChain
  • Vector search systems (pgvector, Pinecone, Qdrant, Azure Cognitive Search)
  • Kubernetes/container orchestration
  • Security, governance, and compliance experience
Why Join Us
Work with cutting-edge AI technologies, shape architecture decisions, own features end-to-end, and help build next-generation AI capabilities in a high-impact role.