ZipRecruiter

Log In

1

Qdrant Jobs (NOW HIRING)

Staxa Technologies

AI engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Proven experience with libraries like Hugging Face, LangChain, or LlamaIndex, and working with vector databases (e.g., Pinecone, Milvus, Qdrant). * Data Engineering : Strong competency in SQL and ...

Paramount

Machine Learning Engineer, Entry

Burbank, CA · On-site

$124K - $186K/yr

Use Qdrant to find high-relevance candidates for re-entry carousels based on session history and global trends. * Experiment Lifecycle: Use MLFlow to manage, track, and deploy experiments, ensuring a ...

ConglomerateIT LLC

Agentic AI Engineer

Georgia, VT · Remote

RAG + a vector DB (Pinecone, Weaviate, pgvector, Qdrant, or similar) * Hands-on LLM API experience (OpenAI / Anthropic / Gemini) * One cloud (AWS, Azure, or GCP) * Demonstrated experience taking at ...

Precision Technologies Corp

Python GenAI

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Enterprise Redis Database, Qdrant, Cockroach * Must have experience of working with Model Risk Management/Model Governance, which includes * Delivering on a Gen AI project following the model ...

Purple Drive

AI AWS Technical Architect

Parsippany, NJ · On-site

$65 - $85.50/hr

Qdrant * Pinecone * OpenSearch * MongoDB Atlas Vector Search * Expertise in: * CI/CD pipelines * MLOps * Kubernetes * Containerization * Strong understanding of: * Responsible AI * AI governance

Apple

Gen AI Software Engineer

Austin, TX · On-site

Milvus, Qdrant), or similarity match & ranking techniques Designed and optimized RESTful services Comfortable working within Linux/Unix environments

ConglomerateIT

Agentic AI Engineer

Georgia, VT · On-site

RAG + a vector DB (Pinecone, Weaviate, pgvector, Qdrant, or similar) * Hands-on LLM API experience (OpenAI / Anthropic / Gemini) * One cloud (AWS, Azure, or Google Cloud Platform) * Demonstrated ...

Apple

Gen AI Software Engineer

Austin, TX · On-site

Milvus, Qdrant), or similarity match & ranking techniques Designed and optimized RESTful services Comfortable working within Linux/Unix environments

Genesis10

AI Engineer

Jersey City, NJ · On-site

Langchain, LlamaIndex • Experience with Rest API, FastAPI, Websockets • Experience with Enterprise Redis Database, Qdrant, Cockroach • Must have experience working with Model Risk Management ...

New

next page

Showing results 1-20

All JobsQdrant Jobs

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:
What job categories do people searching Qdrant jobs look for? The top searched job categories for Qdrant jobs are:
Qdrant jobs near you
Infographic showing various Qdrant job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 97% Full Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

AI engineer

Staxa Technologies

Minneapolis, MN • On-site

$119K - $143K/yr

Other

Posted 23 days ago

Job description

Job Overview
We are seeking an experienced AI / Machine Learning Engineer to design, build, and deploy production-grade AI systems. In this role, you will bridge the gap between AI research and scalable software engineering. You will own the lifecycle of our AI features, from initial data curation and model selection to cloud deployment and continuous monitoring.
Core Responsibilities
  • Model Development: Design, train, and fine-tune machine learning models, including Large Language Models (LLMs) and predictive algorithms.
  • System Architecture: Build robust, scalable, and secure data pipelines and AI infrastructures to support real-time inference.
  • Production Deployment: Deploy models to cloud environments using modern MLOps practices, ensuring high availability and low latency.
  • Optimization: Monitor system performance, optimize inference costs, and debug complex model behaviors in production.
  • Collaboration: Work closely with Product Managers, Data Engineers, and Frontend developers to integrate AI features into user-facing products.
Required Technical Skills
  • Programming: Advanced proficiency in Python (knowledge of C++ or Go is a plus).
  • Frameworks: Deep hands-on experience with PyTorch or TensorFlow.
  • GenAI / LLM Stack: Proven experience with libraries like Hugging Face, LangChain, or LlamaIndex, and working with vector databases (e.g., Pinecone, Milvus, Qdrant).
  • Data Engineering: Strong competency in SQL and experience handling large datasets using tools like pandas or Apache Spark.
  • MLOps & Cloud: Hands-on experience with cloud providers (AWS, Google Cloud Platform, or Azure) and containerization tools like Docker and Kubernetes.
Qualifications & Experience
  • Education: Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Mathematics, or a highly quantitative field.
  • Experience: 5+ years of software engineering experience, with at least 3+ years dedicated to building and deploying AI/ML models in a commercial production environment.
  • Portfolio: A proven track record of shipping AI features that directly impacted business metrics or user experience.
 
 
 
 
 
 
 
 

Apply