Junior Software / AI Engineer (Agentic Systems)
Junior Software / AI Engineer (Agentic Systems) – Internship Location: Remote Department: Engineering / AI Research Compensation: Unpaid internship with equity-based incentives
About Us
SentiEdge’s mission is to bridge the gap between data and actionable knowledge, ensuring every trader has access to reliable, bias-free insights. By combining state-of-the-art AI and advanced sentiment analysis, we deliver intelligent, transparent financial systems. We’re building next-generation agentic AI systems that redefine how traders, investors, and institutions interact with financial markets — empowering autonomous, data-driven decision-making at scale. If you’re excited about AI agents, infrastructure, and scalable systems, and eager to grow under the mentorship of senior engineers, this role is for you. The Role As a Junior Software / AI Engineer (Intern), you’ll work alongside experienced engineers and researchers to help design, prototype, and deploy components of our AI agent infrastructure. You’ll gain hands-on experience building intelligent systems that combine large language models (LLMs), multi-agent orchestration, and cloud-native deployment. This is a unique opportunity to learn how to engineer production-ready AI systems, from architecture to evaluation.
Key Responsibilities
- AI Agent Development
o Assist in building and refining LLM-based agents capable of planning, reasoning, and tool-use. o Help integrate memory and context systems using structured data and vector databases. o Support testing of agent reasoning and decision-making workflows.
- Multi-Agent Orchestration
o Contribute to developing orchestration frameworks using LangGraph, AutoGen, or CrewAI. o Learn to implement and debug agent-to-agent communication and task-sharing mechanisms. o Collaborate on simulations of distributed agent workflows and coordination.
- Infrastructure & Deployment
o Help containerize services using Docker and learn about Kubernetes deployment. o Participate in setting up and maintaining cloud infrastructure (AWS, GCP). o Support monitoring, evaluation, and reliability testing for deployed AI agents.
- Agent Memory & Tooling
o Experiment with vector databases (Pinecone, ChromaDB, Weaviate) and graph databases (Neo4j) for agent memory systems. o Help connect agents to external APIs and tools for dynamic reasoning and interaction.
- Evaluation & Safety
o Assist in developing automated test pipelines for LLM-based systems. o Contribute to documenting and monitoring model performance, behavior, and safety checks. o Learn about ethical AI practices, including transparency and bias detection. ________________________________________
Qualifications
- Strong programming foundation in Python (knowledge of TypeScript is a plus).
- Basic understanding of machine learning, LLMs, or AI agent frameworks (LangChain, AutoGen, CrewAI, etc.).
- Interest in distributed systems, cloud computing, or data infrastructure.
- Ability to learn quickly, take initiative, and work collaboratively.
- Passion for building the next generation of intelligent, autonomous systems.
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Preferred Qualifications
- Experience with Docker, Kubernetes, or AWS/GCP through coursework or projects.
- Familiarity with PyTorch, FastAPI, or LangGraph.
- Exposure to vector databases, graph databases, or API integration.
- Contributions to open-source AI, ML, or software engineering projects.
- Background or curiosity in fintech, crypto, or market analytics.
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Compensation
This internship is unpaid and intended as a hands-on learning opportunity. Outstanding contributors will be eligible for equity-based compensation and potential consideration for future paid full-time roles at SentiEdge. ________________________________________ Why You’ll Love It Here
- Real Impact: Contribute to production-grade systems that combine AI, finance, and automation.
- Hands-On Learning: Work directly with senior AI engineers and researchers on advanced projects.
- Remote Flexibility: Collaborate from anywhere with a global, mission-driven team.
- Career Growth: Gain real-world experience with tools used in cutting-edge AI systems.
- ❤️ Mission-Driven: Be part of building transparent, ethical, and intelligent AI technologies.
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