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Vector Jobs in Columbus, OH (NOW HIRING)

Work with LLMs, prompt engineering, RAG, embeddings, vector databases, and tool/function calling. * Implement agent workflows using frameworks such as LangChain, LangGraph, OpenAI Agent SDK, Google ...

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

Deep knowledge of partial derivatives, gradients, directional derivatives, multiple integrals, vector fields, line integrals, surface integrals, Lagrange multipliers, and the fundamental theorems of ...

Research Technician

Columbus, OH ยท On-site

$15.15 - $19.79/hr

Conducts on-site investigations of suspected emerging arthropod or vector-borne disease threats on Ohio agricultural properties. Coordinates with the Principal Investigator, Extension personnel ...

Research Technician

Columbus, OH ยท On-site

$15.15 - $19.79/hr

Experience accurately identifying arthropod vectors WORKING CONDITIONS * Standard office environment. * Fieldwork takes place on private residential properties in both urban and rural areas of Ohio.

Linear Algebra Tutor

Columbus, OH ยท Remote

$18 - $40/hr

Deep knowledge of vector spaces, linear transformations, matrix operations, determinants, eigenvalues and eigenvectors, orthogonality, diagonalization, singular value decomposition, and systems of ...

Integrate applications with LLMs, RAG pipelines, vector databases, AI APIs, and enterprise data sources. * Develop APIs and tool integrations that enable AI agents to interact with enterprise systems.

Work with LLMs, prompt engineering, RAG, embeddings, vector databases, and tool/function calling. * Implement agent workflows using frameworks such as LangChain, LangGraph, OpenAI Agent SDK, Google ...

Google AI Lead Architect

Columbus, OH ยท On-site

$53.25 - $73.25/hr

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

This position will be responsible for executing in-process, final product, and stability testing for AAV vectors, plasmids, and microbial and mammalian cell banks, while ensuring that activities ...

This position will be responsible for executing in-process, final product, and stability testing for AAV vectors, plasmids, and microbial and mammalian cell banks, while ensuring that activities ...

Pre-Calculus Tutor

Columbus, OH ยท Remote

$18 - $40/hr

Guides students through graphing complex functions, solving trigonometric equations, working with vectors and matrices, and understanding series convergence. Emphasizes mathematical reasoning and ...

Experience building AI-powered applications using vector databases (Pinecone, ChromaDB, FAISS, Weaviate, etc.). * Strong knowledge of prompt engineering, embeddings, model evaluation, and fine-tuning.

Experience building AI-powered applications using vector databases (Pinecone, ChromaDB, FAISS, Weaviate, etc.). * Strong knowledge of prompt engineering, embeddings, model evaluation, and fine-tuning.

Showing results 21-40

Vector information

See Columbus, OH salary details

$24.4K

$80.6K

$166.8K

How much do vector jobs pay per year?

As of Sep 1, 2026, the average yearly pay for vector in Columbus, OH is $80,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,494.00 and $106,409.00 per year, depending on experience, location, and employer.

What is a vector?

In the context of jobs, 'vector' is most commonly used in fields such as mathematics, physics, computer science, and data analysis to refer to a quantity with both magnitude and direction, or a data structure that holds a sequence of values. For example, in computer programming, a vector is a type of dynamic array used to store and manipulate data efficiently. In other fields like biology, a vector might refer to an organism that transmits pathogens. The specific meaning of 'vector' depends on the industry and job role, so it's important to clarify the context when you encounter this term in a job description.

What are some common challenges faced by professionals working in vector graphics design roles?

Professionals in vector graphics design often encounter the challenge of balancing creative vision with technical limitations, such as file compatibility and scalability across platforms. Collaborating closely with developers, marketers, and other designers is common to ensure consistency and usability of graphics in various media. Additionally, keeping up with evolving design software and trends is essential to remain competitive and efficient in this fast-paced field.

What are the key skills and qualifications needed to thrive as a Vector Control Specialist, and why are they important?

To thrive as a Vector Control Specialist, you need knowledge of entomology, environmental science, and public health, often supported by a relevant science degree or certification in pest management. Familiarity with GIS mapping, pesticide application equipment, and regulatory reporting systems is typically required. Strong analytical skills, attention to detail, and effective communication are crucial soft skills in this role. These competencies are vital for accurately identifying vector threats, implementing control measures, and ensuring community health and safety.

What is the difference between Vector vs Data Analyst?

AspectVectorData Analyst
Required CredentialsBachelor's degree in computer science, data science, or related field; knowledge of programming languages like Python or RBachelor's degree in statistics, mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentTech companies, data-driven industries, often in collaborative teamsBusiness, finance, healthcare sectors; working with large datasets and reporting
Employer & Industry UsageUsed in tech, AI, and data science companies for machine learning and data processingCommon in corporate, consulting, and research settings for interpreting data trends

While both Vector and Data Analyst roles involve working with data, Vector typically focuses on data processing, machine learning, and programming, whereas Data Analysts concentrate on interpreting data, creating reports, and supporting business decisions. The roles often overlap in skills but differ in primary responsibilities and industry focus.

What are the most commonly searched types of Vector jobs in Columbus, OH?

The most popular types of Vector jobs in Columbus, OH are:

What are popular job titles related to Vector jobs in Columbus, OH?

For Vector jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Vector jobs in Columbus, OH look for?

The top searched job categories for Vector jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Vector jobs?

Cities near Columbus, OH with the most Vector job openings:

Infographic showing various Vector job openings in Columbus, OH as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 63% Physical, 8% Hybrid, and 29% Remote job distribution, with an average salary of $80,581 per year, or $38.7 per hour.

Software Engineer Python - Advanced

Logging-in

Columbus, OH โ€ข On-site

$55 - $60/hr

Contractor

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Job Title: Software Engineer Python – Advanced
Location: Columbus, OH
Duration: Long Term

Looking for Candidate who are available on W2 Roles.

We are looking for an Advanced Python Engineer / Agentic AI FDE with strong hands-on experience in Python development and a solid understanding of Generative AI, LLMs, AI Agents, and agentic application development.

The ideal candidate will work closely with client engineering and product teams to design, develop, integrate, and deploy production-grade agentic AI solutions. This role requires strong software engineering fundamentals, the ability to work with modern AI frameworks, and excellent client-facing problem-solving skills.

Key Competencies: Python | Agentic AI | Generative AI | LLMs | AI Agents | Lang Chain | Lang Graph | OpenAI Agent SDK | RAG | Prompt Engineering | Vector Databases | Fast API | REST APIs | AWS/Azure/GCP | Bedrock | Azure AI Foundry | Vertex AI | Docker | Kubernetes | CI/CD | AI Governance | Client Engineering | FDE.

Key Responsibilities:
  • Design and develop scalable Agentic AI applications and AI-powered solutions using Python.
  • Build, integrate, and optimize AI agents, multi-agent workflows, tools, and orchestration pipelines.
  • Develop production-grade Python services, APIs, integrations, and backend components.
  • Work with LLMs, prompt engineering, RAG, embeddings, vector databases, and tool/function calling.
  • Implement agent workflows using frameworks such as LangChain, LangGraph, OpenAI Agent SDK, Google ADK, CrewAI, AutoGen, or similar frameworks.
  • Integrate AI agents with enterprise systems, APIs, databases, SaaS platforms, and business applications.
  • Develop and consume REST APIs, microservices, and event-driven integrations.
  • Implement appropriate mechanisms for agent memory, context management, state management, and knowledge retrieval.
  • Work with cloud-based AI platforms such as AWS Bedrock, Azure AI Foundry, or Google Cloud Vertex AI/Gemini.
  • Implement observability, monitoring, logging, evaluation, and performance optimization for AI applications.
  • Collaborate with architects, product managers, data scientists, and client stakeholders to translate business requirements into technical solutions.
  • Participate in client discussions, technical workshops, solution demonstrations, and proof-of-concepts.
  • Troubleshoot complex technical issues and provide hands-on engineering support during implementation.
  • Follow secure and responsible AI engineering practices, including appropriate authentication, authorization, data protection, and AI governance.
 
Required Technical Skills:
  • Python – Advanced.
  • Strong hands-on expertise in Python.
  • Advanced knowledge of Python programming concepts, OOP, data structures, exception handling, concurrency/asynchronous programming, and performance optimization.
  • Experience building production-grade applications and APIs using frameworks such as FastAPI, Flask, or Django.
  • Strong understanding of testing, debugging, logging, packaging, and dependency management.
 
Agentic AI / Generative AI:
  • Strong understanding of LLMs, Generative AI, AI Agents, Agentic AI, and LLM application architecture.
  • Hands-on experience with one or more agent frameworks such as:
    • LangChain / LangGraph.
    • OpenAI Agent SDK.
    • Google ADK.
    • CrewAI.
    • AutoGen.
    • Microsoft Agent Framework or equivalent.
  • Experience with RAG, vector search, embeddings, prompt engineering, tool/function calling, structured outputs, and agent orchestration.
  • Understanding of agent memory, context management, multi-agent systems, and agent evaluation.
 
Cloud & AI Platforms:
  • Experience with at least one major cloud platform: AWS, Azure, or GCP.
  • Exposure to AI platforms such as Amazon Bedrock, Azure AI Foundry, Vertex AI/Gemini, or equivalent.
  • Understanding of deploying AI applications in cloud environments.
 
APIs & Integration:
  • Strong experience with REST APIs, JSON, web services, authentication, and third-party integrations.
  • Experience integrating AI solutions with enterprise applications and data sources.
  • Understanding of microservices and distributed application architecture.
 
Data & Databases:
  • Experience with SQL and relational databases.
  • Exposure to NoSQL databases and vector databases such as Pinecone, Weaviate, Milvus, pgvector, or equivalent.
  • Understanding of data ingestion, retrieval, chunking, embeddings, and knowledge bases.
 
Preferred Skills:
  • Experience with Docker, Kubernetes, CI/CD, Git, and cloud deployment.
  • Exposure to AI observability and evaluation tools.
  • Understanding of AI governance, guardrails, responsible AI, and security considerations for agentic systems.
  • Experience with MCP (Model Context Protocol) and enterprise tool integrations.
  • Experience working with enterprise-grade AI platforms or agent orchestration platforms.
  • Knowledge of authentication and authorization mechanisms such as Oauth2/JWT.
  • Experience working in financial services, banking, or other highly regulated environments is a plus.
 
FDE / Client-Facing Skills:
  • Strong communication and stakeholder management skills.
  • Ability to work directly with client engineering, architecture, and product teams.
  • Ability to understand ambiguous business problems and convert them into technical solutions.
  • Comfortable conducting technical workshops, architecture discussions, POCs, demos, and troubleshooting sessions.
  • Ability to work independently in a fast-paced client environment.
  • Strong analytical and problem-solving skills.
 
Education & Experience:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.
  • 5+ years of software engineering experience, with strong hands-on Python development experience.
  • 2+ years of experience in Generative AI / LLM / Agentic AI development preferred.
  • Proven experience delivering production-grade applications or AI solutions.