Candidly
Student debt solutions that build financial wellness everywhere consumers earn, spend, and save.
Data Scientist, AI Engineering
Location
United States
Posted
61 days ago
Salary
Not specified
Bachelor Degree2 yrs expEnglishAWSCloudNumpyPandasPythonPy TorchSQL
Job Description
• Design, build, and deploy AI Agents including custom tools, prompt engineering, orchestration workflows, and agent design patterns.
• Design evaluation strategies and metrics for assessing the efficacy of AI agents as well as identifying common failure modes. Ensure AI agents and systems are reliable and provide a good user experience.
• Contribute to the backend infrastructure powering Candidly's AI capabilities, including API development, data integrations, and data pipelines.
• Stay on the cutting edge of advancements in Generative AI space and evaluate new techniques for application within the Candidly AI platform.
• Work closely with stakeholders across product, design, engineering, and leadership to translate complex AI concepts into actionable strategies and features.
• Present findings and insights in a compelling way to both technical and non-technical audiences, contributing to strategic decision-making.
Job Requirements
- 2-5 years of experience in a data science, data engineer, machine learning engineer, or backend engineer role.
- Strong programming skills in Python and proficiency with libraries such as LangGraph, PyTorch, FastAPI, SQLAlchemy, Pandas + Numpy.
- Strong understanding of agentic systems, AI agent design patterns, and best practices for evaluating AI agents. Including, but not limited to, multi-agent systems and parallelized agentic workflows.
- Hands on experience with foundational model APIs (OpenAI / Anthropic / Gemini) and at least one AI Agent framework (LangGraph / CrewAI / Pydantic AI).
- Hands on experience with database systems especially in regard to vector databases and Retrieval Augmented Generation (RAG) approaches.
- Previous experience working in a production environment and deploying code to production for example machine learning models, data pipelines, or AI agents.
- Intermediate level data and analytical skills, with at least some familiarity of SQL and data visualization.
- Familiarity with software development practices and tools, such as code reviews, GitHub / GitLab, and Jira.
- Familiarity with backend systems with a focus on serving Generative AI applications.
- Basic knowledge of web systems with a focus on understanding how AI agents operate within both a web backend and frontend.
- Basic knowledge of cloud platforms (AWS).
Benefits
- Health insurance
- Professional development opportunities
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