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Vector Databases Jobs Near Me

Familiarity with Graph Search and vector databases . * Hands-on experience developing applications using Large Language Models (LLMs) . * Monitoring and observability tools such as New Relic

... vector databases, APIs, microservices, and distributed systems. * 10+ years of experience with Kubernetes, Docker, CI/CD platforms, MLOps, AIOps, and Infrastructure as Code in production environments ...

Experience with Retrieval-Augmented Generation (RAG), vector databases, embeddings, and semantic search. * Experience with prompt engineering, prompt evaluation, and LLM performance optimization.

New

Monitor the competitive and ecosystem landscape-including LLM providers, vector databases, AI orchestration frameworks, and adjacent graph players-to identify both opportunities and potential risks.

Sr AI/ML Engineer - W2 Role

Columbus, OH · On-site

$97K - $134K/yr

... vector database implementation, LLM agent development, and production deployment on enterprise infrastructure. The resource must be a full-stack AI engineer, not an ML data scientist. Someone who can ...

... with vector databases and embedding models - Track record of fine-tuning models on domain-specific data - Experience processing and managing data pipelines - Contributions to open-source AI/ML ...

Agent Engineer

Marysville, OH · On-site

$13.75 - $18.50/hr

LLMs (GPT-4, Claude, Gemini), prompt engineering, RAG, vector databases, and agent orchestration (LangChain, Flowise, or similar). • Ability to learn new platforms quickly -- you will ramp on ...

ERP AI Engineer - Manager

Columbus, OH · On-site

$99K - $232K/yr

... with vector databases and semantic search architectures - Translating complex business problems into AI solution designs - Contributing to business development and proposal writing - Cloud ...

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Vector Databases information

What cities are hiring for Vector Databases jobs? Cities with the most Vector Databases job openings:
What states have the most Vector Databases jobs? States with the most job openings for Vector Databases jobs include:
A map of the United States highlighting the number of Vector Databases job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Vector Databases job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Forward Deployed Engineer

Tata Consultancy Service Limited

Milford Center, OH • On-site

$120K - $160K/yr

Full-time

Re-posted 25 days ago


Job description

Must-Have Skills
  • Strong AI/ML engineering and software development experience
  • Expertise in LLMs, Gemini APIs, Vertex AI, and Google Cloud
  • Experience building agentic AI workflows, copilots, and intelligent agents
  • Hands-on implementation of RAG systems and vector databases
  • Strong prompt engineering skills and applied analytics knowledge
  • Ability to integrate AI solutions with enterprise systems
  • Experience with middleware, orchestration layers, and API integrations
  • Knowledge of AI observability, evaluation frameworks, guardrails, and security controls
  • Strong problem-solving, debugging, and rapid prototyping ability
  • Excellent communication and stakeholder management skills
  • Ability to thrive in fast-paced, ambiguous environments with ownership mindset

Key Responsibilities
  • Develop and deploy AI solutions using Gemini Enterprise, Vertex AI, and Google Cloud
  • Build prototypes, POCs, and production-grade AI applications rapidly
  • Design and implement agentic workflows, RAG systems, and AI orchestration pipelines
  • Integrate LLMs with enterprise platforms and build middleware layers
  • Create intelligent copilots, multi-modal demos, and automation workflows
  • Ensure AI systems meet standards for reliability, s ecurity, explainability, and compliance
  • Implement monitoring, evaluation, and human-in-the-loop frameworks
  • Work directly with clients to gather requirements and design AI solutions
  • Lead technical discussions, discovery workshops, and solution demos
  • Act as a bridge between business stakeholders and engineering teams