About this opportunity
Akoncagua AI lists this Ai / Ml Engineer Intern opportunity in lakeland, Florida. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Salary: $25 - 30/ hr
About Akoncagua AI
Akoncagua AI builds domain-specialized AI systems for technically demanding industries. Our work includes LLMs, multimodal AI, agentic automation, RAG, evaluation, and production AI infrastructure. We are seeking an AI Automation Engineer Intern to help build secure, reliable AI agents and automated workflows for accounting and enterprise finance.
What you'll work on
Build and improve LLM agent workflows for document intake, classification, and transaction coding
Develop document-intelligence pipelines for invoices, receipts, contracts, and financial statements
Implement retrieval over accounting policies, vendor records, and historical transactions
Write evaluation harnesses that measure extraction accuracy, classification quality, and end-to-end workflow outcomes
Add tracing and observability for prompts, tool calls, failures, latency, and cost
Integrate agents with accounting platforms, databases, and internal APIs
Required qualifications
Currently enrolled in a Master's or PhD program in Computer Science, AI/ML, or a related technical field, or equivalent practical experience
Strong Python skills, plus solid fundamentals in data structures, debugging, and testing
Experience building LLM-based applications, whether through coursework, research, personal projects, or internships
Familiarity with at least one agent framework such as LangGraph, AutoGen/AG2, Semantic Kernel, or the OpenAI Agents SDK
Working knowledge of RAG and vector databases
Comfortable with Docker and version control in a collaborative codebase
Preferred qualifications
Experience with MCP or similar tool-integration standards
Experience with n8n, Zapier, Make, or event-driven automation
Exposure to FastAPI, PostgreSQL, pgvector, or Kubernetes
Interest in or exposure to accounting concepts such as double-entry bookkeeping, journal entries, reconciliations, or approval controls
Awareness of prompt-injection risks, least-privilege design, and secrets management
Open-source contributions or publications at AI conferences
Prior work with financial platforms, databases, and transactions
How we work
We care about engineers who understand and can defend the design decisions in their code. AI coding tools are welcome here, but you should be able to explain why a system works the way it does and where it breaks.
Worksite address
lakeland, FL, 33809, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.