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DriveWealth

AI Consulting Associate Program – Engineering Intern

DriveWealth

. Design, prototype, and develop agentic AI workflows that automate or augment business or engineering tasks .

Posted 11/12/2026internshipUnited StatesEntry Level💰 $35 - $40 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing AI workflows, with a strong foundation in Python programming and familiarity with APIs and large language models. Capable of collaborating effectively with engineers and communicating complex technical concepts clearly.

Highest-signal resume keywords
Python ProgrammingSQL ProgrammingLarge Language ModelsAPIs and JSONAgentic Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Python ProgrammingSQL ProgrammingLarge Language ModelsAPIsJSONAutomation FrameworksSystems ThinkingAgent Behavior EvaluationTool IntegrationAI Evaluation Techniques
Soft Skills
Clear CommunicationCuriosityOwnership MindsetFeedback AcceptanceMentorship
Tools & Technologies
AWS Strands SDKLangChainCloud PlatformsContainerized EnvironmentsInternal ToolsCLIsLow-Code Web Apps
Industry Keywords
FintechAgent OrchestrationHuman-in-the-LoopProof-of-Concept SystemsAutomation Best Practices

Tech Stack

Tools & technologies
AWSCloudPythonSQL

About the role

Key responsibilities & impact
  • Design, prototype, and develop agentic AI workflows that automate or augment business or engineering tasks
  • Build internal tools or proof-of-concept systems combining LLMs, APIs, and automation frameworks
  • Experiment with single-agent, multi-agent, planner/executor, and human-in-the-loop architectures
  • Apply best practices when building AI-driven automation
  • Evaluate agent behavior for reliability, correctness, and failure modes
  • Propose improvements to agent systems
  • Document designs, experiments, and lessons learned
  • Demo work directly to customers and leadership
  • Collaborate with senior engineers and architects through mentorship and design reviews
  • Gain exposure to agent orchestration, tool-calling, retrieval, and evaluation in an enterprise fintech environment

Requirements

What you’ll need
  • Currently pursuing an undergraduate or graduate degree in Computer Science, Machine Learning, Mathematics, Engineering, or a related technical field
  • Graduation date from December 2027 to December 2028
  • Experience programming in Python and SQL
  • Familiarity with APIs, JSON, and basic service integration
  • Foundational understanding of large language models and application usage, including prompting, tool use, and retrieval
  • Strong curiosity and willingness to explore rapidly evolving technologies
  • Systems thinking, including reasoning about workflows, edge cases, and unintended consequences
  • Clear written and verbal communication, especially when explaining technical ideas to non-engineers
  • Ownership mindset and ability to accept feedback and iterate quickly
  • Applicants must be authorized to work for any employer in the United States
  • Must be currently authorized to work in the United States without current or future visa sponsorship
  • Nice to have: experience with agentic frameworks such as AWS Strands SDK or LangChain
  • Nice to have: exposure to cloud platforms or containerized environments
  • Nice to have: familiarity with AWS
  • Nice to have: experience building internal tools, CLIs, or low-code web apps
  • Nice to have: interest in AI evaluation, testing, or reliability techniques

Benefits

Comp & perks
  • Competitive compensation
  • Equity
  • 401(k) match
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Disability insurance
  • Paid Parental Leave
  • Wellness reimbursement
  • Company-provided phone
  • Personal development allowance
  • Generous Paid Time Off (PTO)
  • Observed holidays
  • Potential consideration for full-time roles after the program, based on performance and team needs
  • Mentorship and design reviews