ZipRecruiter

Log In

1

Pinecone Vector Databases Jobs in Maryland (NOW HIRING)

Archesys Inc

AI Software Engineer

Baltimore, MD · Remote

$100K - $135K/yr

Nice to have worked with vector databases such as Pinecone, Amazon OpenSearch, pgvector, or Weaviate. * Experience with Amazon ECS, Amazon EKS, Lambda, API Gateway, DynamoDB, or S3. * Familiarity ...

Baanyan Software Services, Inc.

Lead AI Engineer

Rockville, MD · On-site

$104K - $137K/yr

LangChain, AWS Strands Vector databases (e.g., PG Vector, Pinecone) Document processing pipelines (OCR, PDF parsing tools) Systems & Infrastructure Cloud platforms (AWS, Google Cloud Platform, or ...

New

Avancer Corporation

Lead AI Engineer

Rockville, MD · On-site

$104K - $137K/yr

Experience with vector databases such as PG Vector or Pinecone. * Background in document processing pipelines, including OCR and PDF parsing. * Experience with cloud platforms such as AWS, Google ...

Trilagen

Agentic AI Engineer

Bethesda, MD

... vector databases (Pinecone, pgvector, OpenSearch, Weaviate), semantic search, and hybrid retrieval strategies. You know when to use each and how to keep them performant at scale. Security and ...

Trilagen

Agentic AI Engineer

Bethesda, MD · On-site

... vector databases (Pinecone, pgvector, OpenSearch, Weaviate), semantic search, and hybrid retrieval strategies. You know when to use each and how to keep them performant at scale. Security and ...

Trilagen

Agentic AI Engineer

Bethesda, MD · On-site

... vector databases (Pinecone, pgvector, OpenSearch, Weaviate), semantic search, and hybrid retrieval strategies. You know when to use each and how to keep them performant at scale. Security and ...

Amtex System Inc.

Lead AI Engineer

Rockville, MD · On-site

$104K - $137K/yr

Experience with vector databases such as PG Vector or Pinecone. * Background in document processing pipelines, including OCR and PDF parsing. * Experience with cloud platforms such as AWS, Google ...

Compunnel

Lead AI Engineer

Rockville, MD · On-site

$104K - $137K/yr

... vector databases such as PG Vector or Pinecone. • Experience with document processing pipelines, OCR, and PDF parsing tools. • Experience with cloud platforms such as AWS, GCP, or Azure. • ...

Amtex Systems Inc

Lead AI Engineer

Rockville, MD · On-site

$104K - $137K/yr

Experience with vector databases such as PG Vector or Pinecone. * Background in document processing pipelines, including OCR and PDF parsing. * Experience with cloud platforms such as AWS, GCP, or ...

Phase2 Technology

$112.80 - $257/hr

Experience with Vector Database infrastructure such as Pinecone, Weaviate, or Milvus, and Retrieval‑Augmented Generation (RAG) pipelines used to provide agents with contextual memory * Knowledge of ...

Deloitte

Cyber - SecOps - Consultant

Baltimore, MD · On-site

Qualifications Required: * 2+ years of analytics consulting or industry experience * 2+ years of experience with artificial intelligence development tools, including vector databases such as Pinecone ...

All JobsPinecone Vector Databases JobsPinecone Vector Databases Jobs in Maryland

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 Maryland?

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

What job categories do people searching Pinecone Vector Databases jobs in Maryland look for?

The top searched job categories for Pinecone Vector Databases jobs in Maryland are:

Pinecone Vector Databases jobs near you
Infographic showing various Pinecone Vector Databases job openings in Maryland as of August 2026, with employment types broken down into 87% Full Time, 5% Part Time, 1% Temporary, and 7% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Lead AI engineer (Fintech Domain)

Intone Networks Inc.

Rockville, MD • On-site

$104K - $137K/yr

Other

Posted 6 days ago

Job description

Hi ,
 
Hope you are doing great do let me know if you are interested , 
 
Title             : Lead AI engineer
Location       : 3 days onsite in Rockville, MD
Duration       : 6-12 months 
Interview       : Virtual & In-Person
 
 
Experience Requirements
  • 8+ years in software engineering or machine learning with production AI/ML delivery.
  • Experience in regulated industries such as finance, legal, or healthcare.
  • Strong expertise in NLP and large language models.
  • Hands-on experience with retrieval-augmented generation.
  • Proficiency in model evaluation and benchmarking, including LLM-specific evaluation.
  • Familiarity with multimodal AI across text, image, and layout.
  • Proficiency in Python and LLM orchestration or agent frameworks such as LangChain or AWS Strands.
  • Experience with vector databases such as PG Vector or Pinecone.
  • Background in document processing pipelines, including OCR and PDF parsing.
  • Experience with cloud platforms such as AWS, Google Cloud Platform, or Azure.
  • MLOps, CI/CD, model monitoring, and scalable distributed system design.
  • Experience with explainable AI and understanding of auditability and governance requirements.
  • Exposure to industry regulations and compliance frameworks (preferred).
  • Experience building legal or compliance-focused AI systems (preferred).
  • Familiarity with marketing or advertising review processes (preferred).
  • Experience analyzing structured and unstructured documents, including charts and disclosures (preferred).
  • Background in hybrid AI systems combining rules and machine learning (preferred).
 
Education Requirements
  • Bachelor's or Master's degree in Computer Science, AI/ML, or related field.
  • PhD preferred but not required.
 

Apply