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Applied AI Engineer

bjakcareerUnited StatesActAI Engineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Mid
Posted
28 Sept 2026
Status
Open · checked 7d ago

About this role

ACTAI seeks an Applied AI Engineer in the United States to transform machine learning models into reliable product features for end users. This opportunity suits professionals with a strong background in machine learning systems who enjoy building end-to-end applications.

Role Overview

The Applied AI Engineer bridges the gap between machine learning, infrastructure, and product development. The position centers on converting raw model outputs into structured and predictable behaviors for practical applications.

Key Responsibilities

Construct and deploy artificial intelligence features from models to user interfaces.
Create and refine prompts, tools, memory systems, and agent workflows.
Troubleshoot problems across the complete technical stack including models, orchestration, infrastructure, and user experience.
Improve production reliability, operational costs, and latency.
Construct lightweight evaluation frameworks to gauge real-world effectiveness.
Partner with product and engineering groups to resolve ambiguous development challenges.

Requirements

Solid background in machine learning along with modern neural network architectures.
Practical experience deploying, training, or fine-tuning machine learning models.
Capability to author clean and production-ready code.
Ease with navigating multiple abstraction layers from models to infrastructure and products.
Analytical problem-solving abilities within dynamic and ambiguous settings.

Skills and Tools

Python
PyTorch
JAX
LLMs including OpenAI-style APIs, LLaMA, and Qwen
Inference and serving technologies such as vLLM
Vector databases

About the Company

ACTAI develops proactive applications designed to bring intelligence to everyday tasks, communication, organization, and workflows with minimal prompting requirements. The organization focuses on long-running workflows, persistent context, real-world task completion, and reduced hallucinations for a global user base.

How to Apply

Candidates should visit the official company careers page to submit an application.

Skills and tech stack

PythonPyTorchJAXOpenAI-style APIsLLaMAQwenvLLMVector DBLLMsMachine LearningFine-tuning

Questions candidates ask

Where is the Applied AI Engineer role located?

The position is based in the United States.

What technologies and frameworks are used in this role?

The tech stack includes Python, PyTorch, JAX, large language models like OpenAI-style APIs, LLaMA, and Qwen, inference tools such as vLLM, and vector databases.

What is the primary focus of the Applied AI Engineer?

The focus involves turning model capabilities into real product behavior, building features end-to-end, designing prompts and agent workflows, debugging full-stack issues, and optimizing for production reliability, cost, and latency.

What background is expected from applicants?

Applicants need a solid foundation in machine learning and modern neural network architectures, practical experience with training, fine-tuning, or deploying machine learning models, and the ability to write production-quality code.

How can a candidate apply for this position?

Interested individuals should apply directly on the official company careers page.

Ready to apply?

The application is on the official bjakcareer careers page.

Apply on company site