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Vector Databases Jobs Near Me

Design data pipelines and manage vector databases. * Collaborate with teams to identify automation opportunities. Your Skills: * Strong programming proficiency in Python or JavaScript, with a track ...

Design data pipelines and manage vector databases. * Collaborate with teams to identify automation opportunities. Your Skills: * Strong programming proficiency in Python or JavaScript, with a track ...

Senior Lead Security Engineer, AI

Columbus, OH · On-site

$107K - $147K/yr

Minimum 3 years building and operating applied ML/LLM systems in production (RAG pipelines, embeddings, fine-tuning/specialization, vector databases, model serving). * Proficiency in Python and at ...

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

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Forward Deployed Engineer

Tata Consultancy Service Limited

Milford Center, OH • On-site

$120K - $160K/yr

Full-time

Posted 12 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