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Agentic Engineer (New Grad)

Princeton💼 Full-time💰 $75,000–$75,000🗓 2026-08-27 → 2026-09-26

Core

Build autonomous, AI-driven agent-based workflows and systems that support cross-functional teams across product, marketing, finance, and growth.

Role type

Junior IC agentic AI engineer

Builds

LLM-powered agent systems, multi-agent coordination workflows, and observability infrastructure

Domain

Digital health + Agentic AI

Deliverable

production ML models

Required skills

Java, Kotlin, Python, Git, software testing, debugging, prompt engineering, LLM API integration

Preferred skills

NLP, machine learning, agent orchestration frameworks (LangGraph, CrewAI, Autogen), AI-native developer tools (Cursor, Codex), cloud platforms (AWS, GCP), containerization (Docker, Kubernetes)

Technologies

OpenAI, Anthropic, GitHub Actions, LangGraph, CrewAI, Autogen, Cursor, Codex, AWS, GCP, Docker, Kubernetes

Responsibilities

Translate product requirements into executable specifications and working prototypes; implement and iterate on multi-agent coordination workflows; write clean code for LLM-powered systems; integrate systems with CI/CD pipelines; build observability systems (logging, telemetry, failure handling); develop evaluation frameworks for LLM outputs; participate in human-in-the-loop processes

Seniority

Junior, high-autonomy IC with mentorship

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