Job Specifications
About ticker
ticker is a social investing app helping investors move from hesitation to confident participation in the stock market. By connecting to users’ brokerage accounts, ticker verifies trades in real time—so people can see what friends, family, and trusted peers are actually investing in. No screenshots. No hype. Just facts.
Our AI personalizes insights to each user’s experience level, helping them learn, understand, and grow through verified examples and meaningful community.
Recognized by TechCrunch Disrupt Battlefield 200, Pennovation Accelerator, The Idea Village, Fintech Sandbox, Zero Labs, and Conscious Venture Lab, ticker is building a platform that makes investing more social, personalized, and informed for everyone.
About the Role
We’re looking for an AI Developer Intern to help build and refine ticker’s proprietary AI stack. This role is ideal for someone excited by the challenge of applying machine learning and large language models (LLMs) to real-world fintech use cases—from analyzing financial documents to delivering personalized investor insights.
You’ll work directly with our product and engineering team to ship features that power search, synthesis, categorization, and user guidance.
Key Duties & Responsibilities
Develop and refine AI modules for:
Web search and summarization
User classification by investing style and experience
Learning models to personalize responses and improve over time
Financial document analysis (e.g., earnings reports, statements)
Document analysis (e.g., News articles, user comments)
Data base analysis (e.g., SQL DB, Embedding DB)
Integrate APIs and third-party tools (e.g., OpenAI, LangChain, Polygon.io)
Build prototypes, test outputs, and fine-tune models based on performance
Collaborate cross-functionally with the design, product, and development teams
Write clean, well-documented, and maintainable code
Learning Objectives
By the end of this internship, you will:
Build real-world experience with LLMs, prompt engineering, MCP, and retrieval-augmented generation (RAG)
Learn how to architect AI features into a consumer-facing fintech product
Gain exposure to tools like LangChain, vector databases, and Python ML frameworks, and C++ Parallelism Algorithms
Deepen your understanding of financial content analysis and how to simplify it for end users
Work cross-functionally on a fast-moving, mission-driven team solving meaningful problems
Manage Projects using Agile Methodologies
Who You Are
Proficient in Python and experienced with AI/ML concepts
Experienced with C++ programming language
Familiar with (or eager to learn):
LLM APIs (e.g., OpenAI, Claude, Mistral)
LangChain, FastAPI, RAG pipelines, Pinecone, or other vector DBs
Basic financial literacy and interest in equity markets
Embedding related algorithms like Hierarchical small worlds and matrix math
Entrepreneurial, resourceful, and curious—able to learn and build quickly
A strong communicator who thrives in a startup environment and collaborates well across disciplines
Other Information
Location: Fully remote
Length: Flexible (4-6 Months)
Supervisor: Luis Rivas Villacorta – luis@tickerapp.io
Join ticker and help shape the future of socialized investing.
If you’re ready to grow your skills while building something impactful, we’d love to hear from you.
www.tickerapp.io
Questions? Reach out to luis@tickerapp.io