Senior Data Scientist_Data Scientist_7

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2 Locations
In-Office
Artificial Intelligence • Consulting
The Role

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Job Title: Senior Data Scientist – Agentic AI Platforms & Applications

Job Description:

We are looking for a Senior Data Scientist to lead the design and development of agentic AI platforms and intelligent applications. This role focuses on leveraging large language models (LLMs), orchestration frameworks, and Python-based development to build autonomous agents that can reason, interact with tools, and perform complex tasks. You will play a hands-on role in shaping the system architecture and implementing key components that power agent behavior.

Key Responsibilities:

  • Design and prototype AI agents using LangChain or similar frameworks.
  • Apply LLMs to real-world tasks through prompt engineering, chaining, and tool integration.
  • Develop Python-based pipelines and backend services to support agentic logic and orchestration.
  • Integrate external APIs and SDKs to extend agent capabilities and data access.
  • Collaborate on the development of planning, memory, and decision-making components within agents.
  • Support experimental design, model evaluation, and iterative tuning of LLM-based workflows.
  • Contribute to basic CI/CD workflows to ensure reliable model deployment and testing.
  • Partner with engineering and product teams to translate business problems into scalable AI solutions.

Required Qualifications:

  • 5+ years of experience in data science or applied machine learning, with a focus on NLP or AI applications.
  • Hands-on experience with LLMs and orchestration tools such as LangChain, Haystack, or similar.
  • Strong Python programming skills and familiarity with building modular, production-ready code.
  • Experience working with LLM APIs (OpenAI, Anthropic, etc.) and retrieval-augmented generation workflows.
  • Proven track record of designing and integrating APIs and third-party SDKs.
  • Familiarity with agent-based systems and autonomous workflows.
  • Working knowledge of CI/CD pipelines and MLOps fundamentals.

Preferred Qualifications:

  • Experience with vector databases, tool use in agents, or multi-agent systems.
  • Background in developing AI solutions in enterprise or research environments.
  • Strong analytical thinking and ability to translate abstract problems into data-driven agentic solutions.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Not the right fit?  Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

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The Company
Bellevue, WA
5,262 Employees

What We Do

Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies.

Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management.

Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.

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