Senior Data Scientist - AI Agents & LLMs

Remote in Greenwood Village, CO, US • Posted 2 hours ago • Updated 2 hours ago
Contract W2
On-site
$72 - $78 hourly
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Fitment

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Job Details

Skills

  • Large Language Models (LLMs)
  • Decision-making
  • Software Engineering
  • Evaluation
  • Continuous Integration
  • Continuous Delivery
  • Data Science
  • Prompt Engineering
  • Amazon Web Services
  • Cloud Computing
  • Python
  • SQL
  • Data Analysis
  • LangSmith
  • Apache Spark
  • Distributed Computing
  • Workflow
  • Orchestration
  • Machine Learning Operations (ML Ops)
  • Analytics
  • Machine Learning (ML)
  • Generative Artificial Intelligence (AI)
  • Artificial Intelligence
  • Messaging

Summary

RESPONSIBILITIES:
Kforce has a client that is seeking a Senior Data Scientist - AI Agents & LLMs in Greenwood Village, CO.

Summary:
We're seeking a Senior Data Scientist to design, build, deploy, and evaluate AI agents that leverage large language models, enterprise data, and external tools to automate complex investigations, generate recommendations, and support operational decision-making. This role combines data science, machine learning, software engineering, and generative AI to deliver production-ready AI solutions at scale.

Responsibilities:
* Design and build AI agents using frameworks such as LangGraph or similar technologies
* Develop agent workflows that leverage LLMs, retrieval, tool calling, and enterprise data sources
* Create evaluation frameworks and benchmark datasets to measure agent accuracy and performance
* Improve model and agent quality through prompt engineering, context engineering, and observability analysis
* Deploy and maintain solutions in production environments using modern CI/CD practices
* Partner with engineering, platform, and business stakeholders to deliver scalable AI capabilities

REQUIREMENTS:
* 5+ years of experience in Data Science, Machine Learning, AI Engineering, or a related field
* Hands-on experience building AI agents or LLM-powered applications
* Experience with prompt engineering, retrieval, tool integration, and agent orchestration patterns
* Experience evaluating model or agent performance using defined quality metrics
* Experience working with AWS cloud services
* Experience deploying solutions to production environments
* Strong Python development skills
* Strong SQL and large-scale data analysis experience

Preferred Qualifications:
* Experience with LangGraph, LangSmith, or similar agent frameworks
* Experience with Spark or distributed computing platforms
* Experience integrating AI applications with APIs and external systems
* Knowledge of workflow orchestration tools and modern MLOps practices

Ideal Candidate:
This role is ideal for a Data Scientist who has evolved beyond traditional analytics and machine learning into the world of generative AI and agentic systems. The successful candidate will have experience building, deploying, and evaluating production AI solutions that deliver measurable business impact.

This version keeps Data Scientist front and center, while still signaling to the market that the search is really for someone with agentic AI, LLM, and software engineering experience, which is what the hiring team actually wants.

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: kforcecx
  • Position Id: ITTVT2188400
  • Posted 2 hours ago

Company Info

About Kforce Technology Staffing

Kforce is a solutions firm specializing in technology, finance and accounting, and professional staffing services. Our KNOWLEDGEforce® empowers industry-leading companies to achieve their digital transformation goals. We curate teams of technical experts who deliver solutions custom-tailored to each client’s needs. These scalable, flexible outcomes are shaped by deep market knowledge, thought leadership and our multi-industry expertise. 

Our integrated approach is rooted in 60 years of proven success deploying highly skilled professionals on a temporary and direct-hire basis. Each year, approximately 18,000 talented experts work with the Fortune 500 and other leading companies. Together, we deliver Great Results Through Strategic Partnership and Knowledge Sharing®

NYSE: KFRC

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