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Pinecone Vector Databases Jobs in Elgin, IL (NOW HIRING)

Virtusa Corporation

Architect

Chicago, IL · On-site

$65 - $85.50/hr

Experience with AI data pipelines, feature stores, and vector databases (Pinecone, Milvus). * Proficiency in MLOps & LLMOps tools (MLflow, LangSmith). * Hands-on experience with containerization ...

Virtusa Corporation

Architect

Chicago, IL · On-site

$65 - $85.50/hr

Experience with AI data pipelines, feature stores, and vector databases (Pinecone, Milvus). * Proficiency in MLOps & LLMOps tools (MLflow, LangSmith). * Hands-on experience with containerization ...

VeeRteq Solutions Inc.

Agentic AI Engineer

Chicago, IL · On-site

Experience with vector databases such as Pinecone, Azure AI Search, Weaviate, Milvus, or similar * Knowledge of embeddings, prompt engineering, semantic search, and LLM evaluation * Experience with ...

Northern Base

Senior GenAI/Python Engineer

Chicago, IL · Remote

$124K - $167K/yr

Vector Databases: pgvector / Pinecone / Weaviate / OpenSearch * FastAPI / Flask / Django * Async Python * Parallel LLM & API Orchestration * SQL & Large Analytical Datasets * Azure / AWS / GCP

9to9 Software Solutions LLC

AI Lead

Chicago, IL · On-site

$144K - $177K/yr

... of vector databases like Pinecone, FAISS, or Weaviate. · Experience with Azure SQL, CosmosDB, and scalable backend architecture. · Familiarity with LangChain, LLamaIndex, and Microsoft Semantic ...

CNA

Senior Data AI Engineer

Chicago, IL · On-site

$118K - $141K/yr

Proven experience designing and implementing vector databases (e.g., Vertex AI Vector Search, Pinecone, pgvector), embedding pipelines, and knowledge graph structures that underpin RAG and semantic ...

rSTAR Technologies LLC.

AI Architect

Westmont, IL · On-site

$63.50 - $82.75/hr

... of vector databases like Pinecone, FAISS, or Weaviate. · Experience with Azure SQL, CosmosDB, and scalable backend architecture. · Familiarity with LangChain, LLamaIndex, and Microsoft Semantic ...

Northern Base

Senior GenAI/Python Engineer

Chicago, IL · Remote

$124K - $167K/yr

... vector databases such as pgvector, Pinecone, Weaviate, OpenSearch, Snowflake Vector Functions, or equivalent technologies ✔ Strong API development experience using FastAPI, Flask, or Django ...

Morningstar

Senior Software Engineer

Chicago, IL · On-site +1

$153K/yr

Architecting, optimizing relational and vector databases (PostgreSQL, SQLAlchemy, query optimization, indexes, replicas, migrations, Weaviate, Pinecone) and working with dataframes for data ...

Morningstar, Inc.

Senior Software Engineer

Chicago, IL · On-site +1

$153K/yr

Architecting, optimizing relational and vector databases (PostgreSQL, SQLAlchemy, query optimization, indexes, replicas, migrations, Weaviate, Pinecone) and working with dataframes for data ...

Capgemini

Managing Solution Architect

Chicago, IL · On-site

$150 - $210/hr

... Vector Databases Design, Model Routing, LLM Orchestration, Developing Agents and building Agentic Mesh, technologies such as LangChain, LlamaIndex, PineCone, Milvus, PyTorch, Tensor Flow and ...

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Pinecone Vector Databases information

What is a Pinecone vector database?

A Pinecone Vector Database is a cloud-based service designed to efficiently store, index, and search high-dimensional vector data, such as embeddings generated by machine learning models. It enables fast similarity search, making it ideal for use cases like semantic search, recommendation systems, and AI-powered applications. Pinecone handles the complexity of scaling and managing vector data, so developers can focus on building intelligent applications without worrying about infrastructure.

What are the key skills and qualifications needed to thrive as a Pinecone vector database engineer, and why are they important?

To thrive as a Pinecone Vector Database Engineer, you need a strong background in computer science, data engineering, and experience with large-scale distributed systems, often supported by a relevant degree or equivalent experience. Proficiency in Python, REST APIs, cloud platforms (AWS, GCP), and vector search technologies, along with familiarity with Pinecone’s SDK and database management, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with cross-functional teams and deliver scalable solutions. These skills ensure robust database performance, efficient data retrieval, and successful integration of vector search capabilities into real-world applications.

What are some common challenges faced by engineers working with Pinecone vector databases, and how can they be addressed?

Engineers working with Pinecone Vector Databases often encounter challenges such as optimizing vector search performance at scale, ensuring data consistency across distributed systems, and integrating the database with various machine learning pipelines. Addressing these challenges typically involves tuning indexing parameters, monitoring resource utilization, and collaborating closely with data scientists to understand retrieval requirements. Regularly reviewing documentation and participating in community forums can also help engineers stay current with best practices and new features.

What is the difference between Pinecone Vector Databases vs Data Engineers?

AspectPinecone Vector DatabasesData Engineers
Primary RoleManaging and deploying vector database solutions for AI/ML applicationsDesigning, building, and maintaining data pipelines and infrastructure
Skills & CertificationsKnowledge of vector databases, cloud platforms, programming (Python, SQL)Data modeling, ETL processes, cloud services, programming (Python, Java)
Work EnvironmentTech companies, AI startups, cloud providersData-driven organizations, tech firms, finance, healthcare

While Pinecone Vector Databases specialists focus on deploying and managing vector database solutions for AI applications, Data Engineers build and maintain the data infrastructure that supports these systems. Both roles require programming skills and familiarity with cloud platforms, but their core responsibilities differ: one centers on database management, the other on data pipeline development.

What are popular job titles related to Pinecone Vector Databases jobs in Elgin, IL?

For Pinecone Vector Databases jobs in Elgin, IL, the most frequently searched job titles are:

What cities near Elgin, IL are hiring for Pinecone Vector Databases jobs?

Cities near Elgin, IL with the most Pinecone Vector Databases job openings:

Pinecone Vector Databases jobs near you

Architect

Virtusa Corporation

Chicago, IL • On-site

$65 - $85.50/hr

Temporary

This job post has expired today. Applications are no longer accepted.

Job description

Solution Architect
Location: US Office - Chicago
Years of Experience: 15-30 Years
Job Summary: We are seeking a highly skilled Solution Architect with over 7 years of experience in engineering and machine learning, including a minimum of 3 years in architecting and scaling production-grade AI systems. The ideal candidate will have deep proficiency in cloud AI platforms and a strong understanding of generative AI architecture.
Responsibilities:
  • Design and implement scalable AI solutions using cloud platforms such as AWS, Azure, or GCP.
  • Architect and optimize generative AI systems, focusing on RAG, agentic workflows, and LLM orchestration.
  • Oversee model serving and inference frameworks to ensure high performance and reliability.
  • Manage AI data pipelines, feature stores, and vector databases to support data-driven decision-making.
  • Implement MLOps and LLMOps practices for model tracking, versioning, evaluation, and monitoring.
  • Utilize DevOps practices and Infrastructure as Code (IaC) to streamline AI infrastructure deployment.
  • Collaborate with cross-functional teams to deliver innovative AI solutions for B2B clients.

Mandatory Skills:
  • 7+ years of experience in engineering/ML with 3+ years as a Solution Architect.
  • Deep proficiency in AWS (SageMaker), Azure (OpenAI), or GCP (Vertex AI).
  • Expertise in generative AI architecture, including RAG and LLM orchestration (LangChain/LlamaIndex).
  • Strong knowledge of scalable inference and serving frameworks (vLLM, Triton, TGI).
  • Experience with AI data pipelines, feature stores, and vector databases (Pinecone, Milvus).
  • Proficiency in MLOps & LLMOps tools (MLflow, LangSmith).
  • Hands-on experience with containerization (Kubernetes, Docker) and Terraform.
  • Proven experience as a Solution Architect in a B2B environment.

Preferred Skills:
  • Experience with additional cloud platforms and AI tools.
  • Strong communication and leadership skills.
  • Ability to work in a fast-paced, collaborative environment.

Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Relevant certifications in cloud platforms or AI technologies are a plus.
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About Virtusa

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We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Westborough, MA, US

Year founded

1996

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