Mid Level AI Engineer
Orlando, FL · Hybrid
Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources. * Create intelligent AI agents and workflows capable of interacting ...
Orlando, FL · Hybrid
Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources. * Create intelligent AI agents and workflows capable of interacting ...
Orlando, FL · Hybrid
Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources. * Create intelligent AI agents and workflows capable of interacting ...
Tallahassee, FL · On-site
$41.50 - $51.25/hr
Experience evaluating, integrating, or developing solutions using artificial intelligence (AI), machine learning (ML), generative AI, large language models * (LLMs), retrieval-augmented generation ...
Tallahassee, FL · On-site
$41.50 - $51.25/hr
Experience evaluating, integrating, or developing solutions using artificial intelligence (AI), machine learning (ML), generative AI, large language models * (LLMs), retrieval-augmented generation ...
Tampa, FL · On-site
$47.50 - $65.50/hr
... • Retrieval-Augmented Generation (RAG) • Model fine-tuning Company : Echo IT Solutions provides IT consulting, managed services, cloud, cybersecurity, data, and custom software development.
Tampa, FL · On-site
$47.50 - $65.50/hr
... • Retrieval-Augmented Generation (RAG) • Model fine-tuning Company : Echo IT Solutions provides IT consulting, managed services, cloud, cybersecurity, data, and custom software development.
... Retrieval-Augmented Generation) pipelines seamlessly within existing .NET ecosystems. • Hands-on configuration and utilization of PostgreSQL with Docker and pgvector for efficient, secure vector ...
... Retrieval-Augmented Generation) pipelines seamlessly within existing .NET ecosystems. • Hands-on configuration and utilization of PostgreSQL with Docker and pgvector for efficient, secure vector ...
Responsibilities : • Design and implement guardrail systems for securing LLM inputs and outputs in production environments • Secure Retrieval-Augmented Generation (RAG) pipelines, vector ...
Responsibilities : • Design and implement guardrail systems for securing LLM inputs and outputs in production environments • Secure Retrieval-Augmented Generation (RAG) pipelines, vector ...
Exposure to vector databases , embeddings, and Retrieval-Augmented Generation (RAG) architectures. * Experience with prompt engineering, AI agents, agentic workflows, or multi-agent systems.
Exposure to vector databases , embeddings, and Retrieval-Augmented Generation (RAG) architectures. * Experience with prompt engineering, AI agents, agentic workflows, or multi-agent systems.
Juno Beach, FL · On-site
Apply LLMs and RAG (Retrieval-Augmented Generation) frameworks to automate reporting, market analysis, and insight generation. * Fine-tune and evaluate generative AI models for quantitative and text ...
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Juno Beach, FL · On-site
Apply LLMs and RAG (Retrieval-Augmented Generation) frameworks to automate reporting, market analysis, and insight generation. * Fine-tune and evaluate generative AI models for quantitative and text ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Hollywood, FL · On-site
Build and support retrieval-augmented generation (RAG), embeddings, vector search, document ingestion pipelines, prompt workflows, and AI assistant capabilities for internal users and distributor ...
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Hollywood, FL · On-site
Build and support retrieval-augmented generation (RAG), embeddings, vector search, document ingestion pipelines, prompt workflows, and AI assistant capabilities for internal users and distributor ...
Construct and maintain robust local model inference pipelines, advanced fine-tuning/embedding workflows, and highly secure Retrieval-Augmented Generation (RAG) systems. · Optimize for Bare Metal:
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Construct and maintain robust local model inference pipelines, advanced fine-tuning/embedding workflows, and highly secure Retrieval-Augmented Generation (RAG) systems. · Optimize for Bare Metal:
Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...
Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...
Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...
Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...
Tallahassee, FL · On-site
Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...
Tallahassee, FL · On-site
Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...
Orlando, FL · On-site
Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...
Orlando, FL · On-site
Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...
Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...
Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...
Miami, FL · On-site
Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...
Miami, FL · On-site
Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...
Tampa, FL · On-site
Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...
Tampa, FL · On-site
Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...
Retrieval-Augmented Generation (RAG) and semantic / vector search (e.g., Azure AI Search). * Preferred: LLM orchestration frameworks such as LangGraph (or LangChain / Semantic Kernel). * Preferred:
Retrieval-Augmented Generation (RAG) and semantic / vector search (e.g., Azure AI Search). * Preferred: LLM orchestration frameworks such as LangGraph (or LangChain / Semantic Kernel). * Preferred:
Full-time
Medical, Dental, Vision, Retirement
Re-posted 4 days ago
Location: Orlando, FL, USA (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent
Build the next generation of AI-powered solutions using Large Language Models, agentic systems, and cutting-edge Generative AI technologies.
The RoleCapco is seeking a Generative AI Engineer to help design, develop, and deploy intelligent applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures. You will work alongside software engineers, product managers, and AI specialists to deliver scalable, production-grade AI solutions that solve complex business challenges and create exceptional user experiences.
This is an exciting opportunity to join a fast-growing AI capability, working on innovative solutions that transform how organizations leverage Generative AI technologies.
What You'll DoWe're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.
Use of Artificial Intelligence in Talent AcquisitionAt Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.
AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.
We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.
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Guided missile and space vehicle manufacturing
201 - 500 Employees
Grand Junction, CO, US
1958