Goaly AI
Applied AI Engineer — Early Career
Palo Alto, CA, USA · On-site · Entry level · Full-time · Posted Aug 8, 2026
- Experience
- Typically 0–2 years of full-time experience.
- Education
- Bachelor’s or master’s in CS, engineering, math, or a related field — or equivalent ability demonstrated through your work.
- Visa sponsorship
- H-1B sponsorship available; OPT/CPT candidates welcome.
About the job
Build and ship applied AI systems, spanning agentic applications, model evaluation, inference, backend services, and developer tools.
What you'll do
- Develop applied AI projects from problem framing and prototyping through evaluation, launch, and iteration.
- Build agentic systems and improve model reliability and performance through prompt, context, and loop engineering.
- Design evaluations, datasets, and feedback loops, and work across model APIs, inference, backend services, and developer tools.
What they ask for
- Strong coding skills and computer science fundamentals, evidenced by projects, research, internships, competitions, or shipped products.
- Track record of learning quickly, taking initiative, and delivering ambitious work with limited structure.
- Curiosity about the AI frontier and active experimentation with models, research, and tools.
- Clear communication and comfort working in a fast-moving team.
Nice to have
- Meaningful open-source contributions or independent systems used by others.
- Experience with ML/LLMs, distributed systems, GPUs, compilers, databases, networking, or performance.
Tools
AI, ML/LLMs, GPUs
AI focus
Applied AI development, agentic systems, model evaluation, prompt and context engineering, model post-training, reinforcement-learning environments, training and inference performance, and continual learning.
Model-written summary · the original posting is authoritative