Jr. AI Engineer

• Build intelligent agents that plan, reason, and interact with users, MCP Servers and APIs, using evolving agentic frameworks to orchestrate complex business workflows.
• Engineer end-to-end products — from Python or Node.js backends to React or Angular frontend applications that embed these agents into secure, mission-critical environments.
• Integrate and experiment with leading AI platforms and Foundational Models to design multi-agent workflows and retrieval-augmented solutions.
• Prototype rapidly, test ideas, and push from concept to pilot within an agile, builder-driven team.
• Apply responsible AI and security-minded design, as we build systems that interface with sensitive data and secure platforms (SSDF awareness a plus).

Qualifications: 

• 2–3 years of hands-on experience building and deploying full-stack applications (Python, TypeScript, Node.js, React/Angular).
• Practical experience with LLM APIs and generative AI frameworks, ideally having built or experimented with agentic systems, chat interfaces, or AI copilots.
• Understanding of data and API orchestration, including prompt management, evals, RAG, context handling, and connecting AI reasoning to real systems.
• Exposure to AWS or other cloud platforms for deploying and monitoring modern applications.
• Curiosity, autonomy, and the drive to make AI tangible, you thrive in small, multidisciplinary teams where initiative matters.