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Summer Retrieval Augmented Generation Jobs in Colorado

Design, prototype, and evaluate Agentic AI workflows, including tool-using agents, retrieval-augmented generation, orchestration patterns, and human-in-the-loop controls * Apply advanced Generative ...

Lead the design, prototyping, and evaluation of Agentic AI workflows, including tool-using agents, retrieval-augmented generation, orchestration patterns, and human-in-the-loop controls * Apply and ...

Lead the design, prototyping, and evaluation of Agentic AI workflows, including tool-using agents, retrieval-augmented generation, orchestration patterns, and human-in-the-loop controls * Apply and ...

Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...

AI Data Analytics Engineer

Fort Collins, CO · On-site

$102 - $146.90/hr

Integration of large language models, embeddings, and retrieval-augmented generation (RAG) systems that turn analytics data into intelligent experiences. * Data pipelines, evaluation frameworks, and ...

Integration of large language models, embeddings, and retrieval-augmented generation (RAG) systems that turn analytics data into intelligent experiences. * Data pipelines, evaluation frameworks, and ...

AI Data Analytics Engineer

Fort Collins, CO · On-site

$113K - $135K/yr

Integration of large language models, embeddings, and retrieval-augmented generation (RAG) systems that turn analytics data into intelligent experiences. * Data pipelines, evaluation frameworks, and ...

Data Engineering Lead

Denver, CO · Hybrid

$118K - $141K/yr

Understanding of Gen AI concepts including LLMs, RAG (Retrieval-Augmented Generation), and vector databases. WHAT OUR CLIENT OFFERS YOU * Supportive Company Culture * Global, Dynamic, and Diverse ...

Data Engineering Lead

Denver, CO · On-site

$117K - $141K/yr

Understanding of Gen AI concepts including LLMs, RAG (Retrieval-Augmented Generation), and vector databases. WHAT OUR CLIENT OFFERS YOU * Supportive Company Culture * Global, Dynamic, and Diverse ...

Data Engineering Lead

Denver, CO · Hybrid

$118K - $141K/yr

Understanding of Gen AI concepts including LLMs, RAG (Retrieval-Augmented Generation), and vector databases. WHAT OUR CLIENT OFFERS YOU * Supportive Company Culture * Global, Dynamic, and Diverse ...

Showing results 41-60

Summer Retrieval Augmented Generation information

What is a summer retrieval augmented generation role?

A Summer Retrieval Augmented Generation (RAG) role typically refers to a summer position focused on developing or improving retrieval-augmented generation systems, which are AI models that combine information retrieval with generative capabilities. In this role, you might work on integrating search algorithms with large language models, enabling systems to fetch relevant information from external sources and generate accurate, context-aware responses. These positions are often found in research labs, tech companies, or startups working on advanced AI applications, and are ideal for students or early-career professionals interested in machine learning, natural language processing, and AI research.

What are some common challenges faced when working on retrieval-augmented generation (RAG) projects during a summer internship?

During a summer internship focused on Retrieval-Augmented Generation (RAG), interns often encounter challenges such as integrating retrieval systems with generative models, managing large-scale datasets, and optimizing latency for real-time responses. Collaboration with cross-functional teams—including data engineers, research scientists, and product managers—is essential for aligning project goals and troubleshooting implementation issues. Additionally, interns may need to balance exploratory research with delivering usable prototypes within tight timeframes, which helps develop both technical and project management skills.

What are the key skills and qualifications needed to thrive as a retrieval augmented generation (RAG) engineer, and why are they important?

To thrive as a Retrieval Augmented Generation (RAG) Engineer, you need a strong background in machine learning, natural language processing, and information retrieval, typically supported by a degree in computer science or a related field. Proficiency with frameworks like PyTorch or TensorFlow, experience with vector databases (e.g., FAISS, Pinecone), and familiarity with LLM APIs are commonly required. Creative problem-solving, strong communication, and the ability to collaborate across multidisciplinary teams are essential soft skills. These competencies ensure effective development, deployment, and optimization of advanced AI systems that integrate retrieval and generative capabilities.

What cities in Colorado are hiring for Summer Retrieval Augmented Generation jobs?

Cities in Colorado with the most Summer Retrieval Augmented Generation job openings:

Data Scientist

AArete

Denver, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Job description

Description

Data Scientist

AArete is one-of-a-kind when it comes to consulting firm culture.

We're a global, innovative management and technology consulting firm with offices in the U.S. and India. Our name comes from the Greek word for excellence: "Arete." And excellence is exactly what we strive for.

We're celebrating our fourth year as one of Forbes' World's Best Management Consulting Firms - and our success starts with our people. From robust career development planning to competitive life and wellness benefits, AArete's "Culture of Care" takes a holistic approach to the employee experience.

AAretians (our team members) are leaders at every level. You are encouraged to unlock your full potential by directly contributing to our mission and prioritizing personal development and fulfillment.

The Role

We are looking for a Data Scientist who will support our client teams with insights gained from analyzing data leveragingadvanceanalytics techniques. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate has the capability to formulate data driven solutions in collaboration with stakeholders' business requirements. In the new age of AI, this role will help design, evaluate, and operationalize advanced Generative AI and Agentic AI solutions that responsibly augment analytical workflows, accelerate client delivery, and convert complex data into practical business action.

Work You'll Do

  • Mine and analyze data to drive optimization and improvement of business strategies
  • Develop custom AI/ML models and algorithms to apply to data sets
  • Develop processes and tools to create and monitor data models while maintaining accuracy and other associated metrics necessary for the business objective
  • Design, prototype, and evaluate Agentic AI workflows, including tool-using agents, retrieval-augmented generation, orchestration patterns, and human-in-the-loop controls
  • Apply advanced Generative AI techniques, including prompt engineering, model evaluation, grounding, safety guardrails, and responsible AI practices, to solve client business problems
  • Leverage AI assistive engineering tools such as Claude Code, GitHub Copilot, or similar platforms to improve development velocity, code quality, documentation, and experimentation
  • Partner with business and technical stakeholders to rapidly learn new domains, frame ambiguous problems, and translate AI/ML opportunities into measurable client outcomes
  • Other duties as assigned

Requirements

  • 3-5 years of work experience with a bachelor's degree in quantitative field such as Computer Science, Statistics, Economics, Math, Engineering, advanced degree preferred
  • Previous experience working with relational databases and developing advanced SQL queries is a must
  • Hands-on Agentic AI experience, including building or evaluating AI agents, multi-step AI workflows, tool/function calling, retrieval-augmented generation, or workflow orchestration frameworks
  • Advanced Generative AI experience, including prompt engineering, LLM application design, model evaluation, responsible AI practices, and practical implementation of AI-enabled solutions
  • Strong Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows
  • Solid AI/ML background with practical experience across supervised learning, unsupervised learning, model validation, feature engineering, statistical analysis, and business-focused experimentation
  • Demonstrated ability to learn and adapt quickly in fast-changing AI environments, with passion for AI, curiosity, and a continuous learning mindset
  • Strong problem-solving skills with the ability to structure ambiguous business questions, test hypotheses, and deliver practical analytical recommendations
  • Experience leveraging AI assistive tools such as Claude Code, GitHub Copilot, or similar tools to accelerate coding, analytics, documentation, testing, and solution development
  • Experience working with businessintelligence platforms: Tableau, Power BI, etc.
  • Must be legally authorized to work in the United States without the need for employer sponsorship

Preferred Requirements

  • Based in Chicago, IL, and flexible to work from our Chicago office as needed
  • Healthcare industry experience, especially with payer, provider, clinical, claims, revenue cycle, population health, or healthcare operations data
  • AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock, Lambda, S3, or related cloud-native AI/ML services
  • Snowflake experience, including data modeling, SQL optimization, secure data sharing, or analytics engineering in cloud data warehouse environments
  • Consulting background with experience working directly with clients, managing ambiguity, and delivering executive-ready recommendations
  • AWS AI or machine learning certifications, such as AWS Certified Machine Learning Engineer, AWS Certified Machine Learning Specialty, AWS Certified AI Practitioner, or related AWS credentials

Compensation & Benefits

  • Flexible PTO, monthly half-day refuels, volunteer time off, 10 paid holidays
  • Own Your Day flexible work policy
  • Competitive majority employer-paid benefits: Medical, Dental, Vision, 401K Match
  • Generous paid parental leave options
  • Employer-paid Life Insurance, Short Term Disability, Long Term Disability
  • Charitable contribution matching program
  • New client commission opportunities and referral bonus program
  • Bike share discount program

The estimated base salary range for this position is $90,000 - $120,000. In addition to this base salary, individuals may be eligible for an annual discretionary bonus. This range is a part of a competitive, total compensation package together with our majority employer-paid benefits and incentive pay for eligible roles. Please note that this range is a guideline, and individual total compensation may vary due to numerous factors, including but not limited to experience level, certifications, and other relevant business considerations.

AArete will accept applications until the position is filled. The job posting will be removed once the role is no longer available.

We put humans at the center of our work

We're a global management and technology consulting firm specializing in strategic profitability improvement, digital transformation, and strategy & change for clients. Our cross-industry solutions are powered by a digital-first mindset, market intelligence, and data-driven approach to deliver purposeful change, actionable insights, and guaranteed results.

But what sets us apart is our people. We are guided by our deeply embedded guiding principles: Excellence, Passion, Loyalty to Clients, Stewardship, Family, Community, Sustainability, and Inclusion.

And we've been recognized as a top firm to work for by companies like Forbes, Top Workplaces Chicago Tribune, and Consulting Magazine.

We've earned a Great Place to Work Certification and been named a World's Best Management Consulting Firm by Forbes, Vault's Top 50 Firms to Work For, Crain's Chicago Business Fast 50, Inc 5000's Fastest Growing Firms, and Consulting Magazine's Fastest Growing Firms.

Learn more about our award-winning culture

AArete, LLC ("AArete") may utilize Artificial Intelligence/Automated Decision-Making Technology/Automated Employment Decision Technology tools and resources ("AI" or "tools" or "resources") to assist humans in generating job descriptions and postings, recruitment, analyzation of information, screening candidates, evaluation of candidate information, and assisting humans in the selection of potential candidates by all levels of AArete employees for all positions.

AArete may use Microsoft Co-Pilot, OpenAI ChatGPT, Anthropic Claude, Google Gemini, LinkedIn Recruiter AI and Hiring Assistant, Jobvite Talent Fit and AArete HireSense. AArete may use all the information you provide. Submission of information to AArete shall serve as consent to AArete's use of AI tools and resources. AArete complies with all applicable law and does not use AI to discriminate against any individual and does not use location or geographic data like zip codes to act in a discriminatory or illegal manner. Your personal data may be used in relation to prospective employment with AArete and will only be retained for so long as legally necessary.

AArete shall comply with its posted privacy policies and candidates may contact Recruiting or Privacy Departments, as identified below, to request accommodations or to exercise any of your applicable rights, pursuant to applicable law:

Recruiting: [emailprotected]

Privacy: [emailprotected]

We are an Equal Employment Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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