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Vector Ai Jobs in Washington (NOW HIRING)

Klaxontech

Senior AI Agent Engineer - Agentic

Reston, VA · On-site

$108K - $149K/yr

Vector Search * GitHub Copilot * Autonomous Agents Key Experience * Built AI agents that ingest source code repositories and construct structured knowledge * graphs of applications. * Developed ...

Noblis

AI Solutions Lead IV

Chantilly, VA · On-site

Lead platform and model integration across cloud services (Azure, AWS, or GCP), APIs, vector ... Evaluate emerging AI technologies and recommend optimal technology stacks, balancing innovation ...

Finch AI

AI/ML Engineer - TS/SCI w/Polygraph

Mclean, VA · On-site

... vector databases, AWS/cloud environments, Docker, and containerized AI/ML development workflows. • Experience designing and integrating REST APIs and scalable data architectures. Company : At Finch ...

Leidos

Agentic AI Developer

Columbia, MD · On-site

$69K - $125K/yr

Familiarity with vector databases and embedding technologies. Experience deploying AI services in cloud or hybrid environments. Knowledge of AI safety, governance, and observability best practices.

Leidos

Agentic AI Developer

Chantilly, VA · On-site

$69K - $125K/yr

Familiarity with vector databases and embedding technologies. Experience deploying AI services in cloud or hybrid environments. Knowledge of AI safety, governance, and observability best practices.

Leidos

Agentic AI Developer

Chantilly, VA · On-site

$69K - $125K/yr

... APIs, vector databases, and modern backend architectures. • Strong understanding of prompt ... AI services in cloud or hybrid environments. • Knowledge of AI safety, governance, and ...

BigBear.ai

Software Engineer (AI Infrastructure)

Columbia, MD · On-site

$170K - $201K/yr

Knowledge of vector databases and embedding systems * Experience with high-performance computing or ... About BigBear.ai BigBear.ai is a leading provider of AI-powered decision intelligence solutions for ...

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Vector Ai information

What is a Vector AI?

Vector AI typically refers to professionals or technologies focused on vector-based artificial intelligence, which involves the use of high-dimensional vectors to represent data and perform machine learning tasks. These experts work on algorithms that process and analyze vector data for applications like image recognition, natural language processing, and recommendation systems. Their work is crucial in making AI systems more efficient at understanding complex patterns in large datasets. In some contexts, 'Vector AI' may also refer to companies or platforms developing such technologies.

What are the key skills and qualifications needed to thrive as a Vector AI engineer?

To thrive as a Vector AI Engineer, you need strong foundations in mathematics, machine learning, and computer science, often supported by a degree in a related field. Expertise with vector databases (such as Pinecone or FAISS), programming languages like Python, and knowledge of frameworks like TensorFlow or PyTorch are typically required. Excellent problem-solving, analytical thinking, and effective communication skills help you translate complex business requirements into scalable AI solutions. These qualifications are crucial for developing, deploying, and maintaining efficient AI systems that leverage vector search and representation for real-world applications.

What are some common challenges faced by professionals working in Vector AI roles, and how can they be addressed?

Professionals in Vector AI roles often face challenges such as managing large-scale, high-dimensional data, ensuring model scalability, and optimizing search algorithms for speed and accuracy. Collaborating closely with data engineers, software developers, and product managers is crucial to integrate AI vector solutions effectively into products. Staying updated on the latest advancements in vector databases and similarity search techniques can also be demanding, so continuous learning and participation in relevant communities are highly beneficial. Adopting best practices for model evaluation and experiment tracking can help address these challenges and drive project success.

What is the difference between Vector Ai vs Data Analyst?

AspectVector AiData Analyst
Required CredentialsTechnical certifications, programming skillsDegree in statistics, data science, or related field
Work EnvironmentTech companies, AI development teamsBusiness, finance, healthcare sectors
Industry UsageAI, machine learning, software developmentData interpretation, reporting, decision support

Vector Ai professionals focus on developing and implementing AI algorithms, requiring technical skills and programming knowledge. Data Analysts interpret data to inform business decisions, often working with statistical tools. While both roles handle data, Vector Ai is more specialized in AI technology, whereas Data Analysts focus on data insights and reporting.

What are popular job titles related to Vector Ai jobs in Washington?

For Vector Ai jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Vector Ai jobs in Washington look for?

The top searched job categories for Vector Ai jobs in Washington are:

What cities in Washington are hiring for Vector Ai jobs?

Cities in Washington with the most Vector Ai job openings:

Vector Ai jobs near you

AI Agent/Application Developer

Bespoke Technologies, Inc.

Reston, VA • On-site

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Bespoke Technologies, Inc. is seeking an AI Agent/Application Developer. The role involves designing and building AI agents, integrating mission data with large language models, and working with various machine learning frameworks and geospatial data.
Responsibilities:
• Experience working with geospatial data types (rasters and vectors)
• Experience with designing and building AI agents
• Integrating mission data with LLMs using RAG and MCP
• Machine Learning frameworks
• AutoML, Notebooks
• SQL, Python, R, and REST endpoints
• Designing and building Node.js applications and dashboards connected to Oracle Databases
• OpenAI Codex
Qualifications:
Required:
• Experience working with geospatial data types (rasters and vectors)
• Experience with designing and building AI agents
• Integrating mission data with LLMs using RAG and MCP
• Machine Learning frameworks
• AutoML, Notebooks
• SQL, Python, R, and REST endpoints
• Designing and building Node.js applications and dashboards connected to Oracle Databases
• OpenAI Codex
• MUST HAVE A POLY CLEARANCE TO APPLY
Preferred:
• Oracle Database (preferably Oracle 26ai)
• Oracle AI Database Agent Factory
• Oracle Spatial and Spatial Studio
• Oracle APEX
• Oracle Cloud Infrastructure (OCI)
Company:
Bespoke Technologies, Inc. Founded in , the company is headquartered in Aldie, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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