Applied AI Engineer - Build Production-Grade AI Systems

ActAI; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

ActAI, a US-based startup, is seeking an Applied AI Engineer. You will turn model capabilities into real product behavior, owning problems end-to-end from shaping model behavior to building the systems and ensuring production reliability.

This role sits at the intersection of machine learning, systems, and product, focusing on making AI actually work for users in real-world usage, not just demos. You will ship end-to-end AI features and collaborate with product and engineering.

Qualifications

• Strong foundation in machine learning and modern neural network architectures.
• Hands-on experience with training, fine-tuning, or deploying ML models.
• Ability to write clean, production-quality code.
• Comfort working across abstraction layers (model -> infra -> product).

Responsibilities

• Build AI features end-to-end (model -> system -> user experience).
• Design and iterate prompts, tools, memory, and agent workflows.
• Turn raw model outputs into structured, reliable, and predictable behaviors.
• Debug issues across the full stack (model, orchestration, infra, UX).

Skills

ML foundations

Production-grade code

Problem solving

Cross-functional collaboration

Tools

Python

PyTorch

JAX

vLLM

Vector DB

Job description

ActAI, a US-based startup, is seeking an Applied AI Engineer. You will turn model capabilities into real product behavior, owning problems end-to-end from shaping model behavior to building the systems and ensuring production reliability.

This role sits at the intersection of machine learning, systems, and product, focusing on making AI actually work for users in real-world usage, not just demos. You will ship end-to-end AI features and collaborate with product and engineering.