Build and deploy production-ready AI applications, including RAG pipelines, agentic workflows, and LLM integrations, with a pragmatic eye toward what actually works at scale. * Ensure solutions meet ...
Build and deploy production-ready AI applications, including RAG pipelines, agentic workflows, and LLM integrations, with a pragmatic eye toward what actually works at scale. * Ensure solutions meet ...
Architect retrieval-augmented generation (RAG) and computer vision pipelines that interpret plan ... Translate complex AI concepts into clear direction for business and product stakeholders.
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Architect retrieval-augmented generation (RAG) and computer vision pipelines that interpret plan ... Translate complex AI concepts into clear direction for business and product stakeholders.
AI Engineer Senior Consultant
Denver, CO · Hybrid
$107K - $147K/yr
Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...
AI Engineer Senior Consultant
Denver, CO · Hybrid
$107K - $147K/yr
Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...
Lead, AI Software Engineer
Denver, CO · On-site
This role focuses on helping every engineer at Strive design, build, and ship AI-enabled software safely and effectively - from AI-assisted development workflows to agentic and RAG-based applications ...
Lead, AI Software Engineer
Denver, CO · On-site
This role focuses on helping every engineer at Strive design, build, and ship AI-enabled software safely and effectively - from AI-assisted development workflows to agentic and RAG-based applications ...
AI Builder / Forward Deployed Engineer
Denver, CO · On-site
$90K/yr
Build and deploy production-ready AI applications, including RAG pipelines, agentic workflows, and LLM integrations, with a pragmatic eye toward what actually works at scale. * Ensure solutions meet ...
AI Builder / Forward Deployed Engineer
Denver, CO · On-site
$90K/yr
Build and deploy production-ready AI applications, including RAG pipelines, agentic workflows, and LLM integrations, with a pragmatic eye toward what actually works at scale. * Ensure solutions meet ...
Lead AI Engineer - AWS Platform
Denver, CO · On-site +1
$130K - $190K/yr
Build RAG pipelines using vector databases and enterprise data sources * Build machine learning ... Integrate AI workflows with enterprise systems (policy, claims, billing, etc.) * Ensure data ...
Lead AI Engineer - AWS Platform
Denver, CO · On-site +1
$130K - $190K/yr
Build RAG pipelines using vector databases and enterprise data sources * Build machine learning ... Integrate AI workflows with enterprise systems (policy, claims, billing, etc.) * Ensure data ...
AI Data Engineer - Senior Consultant
Denver, CO · Hybrid
$107K - $147K/yr
Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...
AI Data Engineer - Senior Consultant
Denver, CO · Hybrid
$107K - $147K/yr
Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...
Identify data gaps, recommend remediation strategies, and help customers build the data foundation required for effective AI agent tool use and RAG-powered responses. - Agentic AI Implementation:
Identify data gaps, recommend remediation strategies, and help customers build the data foundation required for effective AI agent tool use and RAG-powered responses. - Agentic AI Implementation:
Architect secure access patterns to cloud-based data systems to power AI agent tool use and retrieval-augmented generation (RAG). - Agentic IDE Proficiency: Leverage agentic development environments ...
Architect secure access patterns to cloud-based data systems to power AI agent tool use and retrieval-augmented generation (RAG). - Agentic IDE Proficiency: Leverage agentic development environments ...
Architect secure access patterns to cloud-based data systems to power AI agent tool use and retrieval-augmented generation (RAG). - Agentic IDE Proficiency: Leverage agentic development environments ...
Architect secure access patterns to cloud-based data systems to power AI agent tool use and retrieval-augmented generation (RAG). - Agentic IDE Proficiency: Leverage agentic development environments ...
Architect secure access patterns to cloud-based data systems to power AI agent tool use and retrieval-augmented generation (RAG). - Agentic IDE Proficiency: Leverage agentic development environments ...
Architect secure access patterns to cloud-based data systems to power AI agent tool use and retrieval-augmented generation (RAG). - Agentic IDE Proficiency: Leverage agentic development environments ...
Senior AI Platform and Reliability Engineer
$96K - $145K/yr
Design high-scale AI orchestration workflows and RAG pipelines to solve real-world business problems while optimizing for token costs and performance * Automate the resolution of recurring Tier-1 and ...
Senior AI Platform and Reliability Engineer
$96K - $145K/yr
Design high-scale AI orchestration workflows and RAG pipelines to solve real-world business problems while optimizing for token costs and performance * Automate the resolution of recurring Tier-1 and ...
Senior AI Platform and Reliability Engineer
Littleton, CO · On-site
$96K - $145K/yr
Design high-scale AI orchestration workflows and RAG pipelines to solve real-world business problems while optimizing for token costs and performance * Automate the resolution of recurring Tier-1 and ...
Senior AI Platform and Reliability Engineer
Littleton, CO · On-site
$96K - $145K/yr
Design high-scale AI orchestration workflows and RAG pipelines to solve real-world business problems while optimizing for token costs and performance * Automate the resolution of recurring Tier-1 and ...
Identify data gaps, recommend remediation strategies, and help customers build the data foundation required for effective AI agent tool use and RAG-powered responses. - Agentic AI Implementation:
Identify data gaps, recommend remediation strategies, and help customers build the data foundation required for effective AI agent tool use and RAG-powered responses. - Agentic AI Implementation:
Architect secure access patterns to cloud-based data systems to power AI agent tool use and retrieval-augmented generation (RAG). - Agentic IDE Proficiency: Leverage agentic development environments ...
Architect secure access patterns to cloud-based data systems to power AI agent tool use and retrieval-augmented generation (RAG). - Agentic IDE Proficiency: Leverage agentic development environments ...
Identify data gaps, recommend remediation strategies, and help customers build the data foundation required for effective AI agent tool use and RAG-powered responses. - Agentic AI Implementation:
Identify data gaps, recommend remediation strategies, and help customers build the data foundation required for effective AI agent tool use and RAG-powered responses. - Agentic AI Implementation:
Architect secure access patterns to cloud-based data systems to power AI agent tool use and retrieval-augmented generation (RAG). - Agentic IDE Proficiency: Leverage agentic development environments ...
Architect secure access patterns to cloud-based data systems to power AI agent tool use and retrieval-augmented generation (RAG). - Agentic IDE Proficiency: Leverage agentic development environments ...
Architect secure access patterns to cloud-based data systems to power AI agent tool use and retrieval-augmented generation (RAG). - Agentic IDE Proficiency: Leverage agentic development environments ...
Architect secure access patterns to cloud-based data systems to power AI agent tool use and retrieval-augmented generation (RAG). - Agentic IDE Proficiency: Leverage agentic development environments ...
Staff Software Engineer, AI Developer Tools
Denver, CO · On-site +1
$220K - $245K/yr
AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively ... You possess a deep understanding of prompt engineering, fine-tuning, RAG architectures, and ...
Staff Software Engineer, AI Developer Tools
Denver, CO · On-site +1
$220K - $245K/yr
AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively ... You possess a deep understanding of prompt engineering, fine-tuning, RAG architectures, and ...
... RAG), multi-agent and A2A architectures, orchestration, state management, observability, and ... Proven expertise in AI-driven and modern data architectures, including GenAI, agent-based systems ...
... RAG), multi-agent and A2A architectures, orchestration, state management, observability, and ... Proven expertise in AI-driven and modern data architectures, including GenAI, agent-based systems ...
Ai Rag information
What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?
To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.
What is the difference between Ai Rag vs Data Analyst?
| Aspect | Ai Rag | Data Analyst |
|---|---|---|
| Required Credentials | Typically a diploma or certification in AI, machine learning, or related fields | Bachelor's degree in statistics, mathematics, or related fields |
| Work Environment | Tech companies, AI startups, research labs | Business, finance, healthcare, and various industries |
| Employer & Industry Usage | Primarily in AI development and research | Across industries for data interpretation and decision-making |
| Common Search & Comparison | Yes | Yes |
Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.
What are AI RAGs?
AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.
What are some common challenges faced by AI RAG (Retrieval-Augmented Generation) engineers when integrating retrieval systems with large language models?
AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What are popular job titles related to Ai Rag jobs in Colorado? For Ai Rag jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Colorado look for? The top searched job categories for Ai Rag jobs in Colorado are:
What cities in Colorado are hiring for Ai Rag jobs? Cities in Colorado with the most Ai Rag job openings:
$90K/yr
Full-time
Posted 17 days ago
Job description
Sagard Overview:
Sagard is a multi-strategy alternative asset management firm active in venture capital, private equity, private credit and real estate. Sagard also engages in private wealth management through Sagard Wealth.
Founded in 2016 and guided by the core values of entrepreneurship, innovation, collaboration, rigour and authenticity, Sagard has experienced outstanding growth. Today, the firm has more than US$45 billion under management, 190 portfolio companies and 540 professionals.
Sagard is well positioned to continue to grow substantially, organically and inorganically, pursuing its vision of becoming one of the best-performing investment management firms.
Headquartered in Canada, Sagard currently has offices in Canada, the United States, Europe and the Middle East.
More at https://www.sagard.com
Position Overview:
Sagard is on a journey to become an AI-first organization. We believe artificial intelligence will reshape the workplace by automating repetitive tasks and enabling teams to focus on higher-value, strategic work.
The AI Builder / Forward Deployed Engineer will work closely with business teams across investment, finance, compliance and operations to identify high-value opportunities and build practical AI-enabled solutions. As part of a small and agile AI and Data team, the role combines technical development, experimentation and cross-functional collaboration to rapidly prototype, deploy and scale solutions that improve how work is done across the firm.
This is fundamentally a full-stack engineering role. The majority of the work involves building the data pipelines, system integrations, and foundational infrastructure that make AI solutions possible -- not just the AI layer itself. Strong engineering fundamentals matter as much as AI fluency here.
Compensation range: USD$75,000 to USD$90,000
Responsibilities:
Partner with business units across investment, finance, compliance and operations to understand operational problems, scope technical solutions, and rapidly prototype and iterate based on real-world feedback.
Design and build data pipelines that move, transform, and prepare data from internal systems for use in AI and analytics workflows.
Own end-to-end integrations between internal platforms and third-party APIs, including authentication, error handling, and ongoing maintenance.
Contribute to foundational infrastructure decisions -- data storage, service architecture, deployment patterns -- as the firm's data and AI platform matures.
Build and deploy production-ready AI applications, including RAG pipelines, agentic workflows, and LLM integrations, with a pragmatic eye toward what actually works at scale.
Ensure solutions meet production standards for security, access controls, responsible AI usage, and ongoing maintainability.
Qualifications:
Bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience.
2-5 years of experience in software engineering roles, with demonstrated ownership of production systems end-to-end.
Solid full-stack engineering fundamentals -- backend services, relational and document databases, REST and webhook integrations, async patterns, and cloud deployment.
Hands-on experience building and maintaining data pipelines and system integrations in production environments, not just application-layer prototypes.
Practical experience with LLM-based systems in production -- including RAG pipelines, agentic workflows, and LLM integrations -- and sound judgment on when AI adds value over conventional approaches.
Curious, self-directed, and biased toward action -- able to work directly with non-technical stakeholders, move fast in ambiguous situations, and drive problems to resolution without heavy oversight.
Preferred: experience in financial services or alternative asset management, familiarity with structured financial data and compliance constraints.
Sagard is an equal opportunity employer, which values diversity in the workplace. We are therefore happy to accommodate any individual.
If you require accommodation in order to participate in the hiring process, please contact the People & Culture team to make your needs known in advance.
Sagard may use automated tools, including artificial intelligence, to support certain stages of the recruitment and selection process.