Junior Fullstack (Python, Reactjs, ML) - Ivy… at Talentia… · San…

Summary: Talentia Consulting is a dynamic company based in San Francisco, dedicated to creating a state-of-the-art platform that leverages AI agents in software engineering. They are seeking an ambitious early-career software engineer to transform product ideas into reliable systems, focusing on full-stack development and safety-first systems. Responsibilities: - You’ll join a high-velocity engineering team tasked with building the platform that enables AI agents to perform real-world software engineering. In this role you are the bridge between ambitious product ideas and production-grade delivery: you will turn prototypes into reliable systems, craft toolchains and workflows for agents, design evaluation loops and safety standards, and ship meaningful features alongside foundational infrastructure - You will be the force-multiplier who turns research and product ideas into reliable, safe, user-visible features fast. On any given day you'll design prompt/agent workflows, write tooling, build evaluation and safety guardrails, and ship to production alongside the founders — always raising the quality bar for real outcomes - Ship end-to-end full-stack systems: you’ll build the core simulation platform where AI agents execute software engineering workflows (backend in Python, frontend in TypeScript/React) - Design realistic evaluation scenarios and production-grade loops: you’ll define meaningful engineering tasks, establish grading criteria, choose tooling and workflows, and build infrastructure (unit tests, regression suites, shadow/prod checks) that measure reliability and user outcomes - Build and iterate safety-first systems: you’ll implement risk-response detection, guardrails and fallback paths, human-in-the-loop escalation, post-incident reviews, and treat system safety as a first-class product feature - Own critical internal services and tooling: you’ll build lightweight internal tools (UX hooks, service APIs, automation) that speed up experimentation and engineer feedback loops - Collaborate across disciplines: you’ll partner with design (voice/chat UX) and clinical research (for measurement and impact) to translate findings into product improvements and safety safeguards - Drive a high-cadence shipping culture: you’ll move with urgency — prototype, evaluate, harden and release weekly, document decisions and metrics so the team can build confidently and scale fast Required Qualifications: - 0-2 years of experience as a software engineer and can code in python and React - Strong software engineering fundamentals: you're fluent in Python and you have hands-on experience with full-stack development (TypeScript/React or equivalent) - Product-sense plus speed: you can simplify ambiguous problems into pragmatic baselines, deliver value in days (not quarters), and iterate rapidly while maintaining high standards - Experience with system quality and safety: you have built guardrails (error detection, fallback paths, monitoring), and you are comfortable being accountable for production quality—not just writing code, but delivering sustained value - Evidence-driven mindset: you instrument features, define measurable outcomes (not just engagement), and iterate based on data and feedback loops - Collaboration in high-trust, high-ownership teams: you thrive building in-person with founders and cross-functional partners (design/research) - Location & work-auth fit: In-person in San Francisco is required; US work authorization (no sponsorship) is required Preferred Qualifications: - Prior internship or experience at a top-tier tech or startup, and/or degree from a highly ranked engineering school Required Skills: Python, Full-stack development, TypeScript/React Important Skills: System quality, safety, Evidence-driven mindset Nice-to-Have Skills: Product sense Benefits: Equity