Remote opportunity at
BjakApplied AI Engineer
Bjak is hiring a full-time Applied AI Engineer to join a remote team. The company focuses on developing proactive, agent-first mobile communication applications designed to bring…
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About This Role
Bjak is hiring a full-time Applied AI Engineer to join a remote team. The company focuses on developing proactive, agent-first mobile communication applications designed to bring intelligence to daily conversations, errands, and collaboration with minimal prompting required from users. In this role, the selected candidate will bridge machine learning, systems engineering, and product development to convert model capabilities into reliable user experiences. Responsibilities include building end-to-end AI features, designing agent…
Job Description
Bjak is hiring a full-time Applied AI Engineer to join a remote team. The company focuses on developing proactive, agent-first mobile communication applications designed to bring intelligence to daily conversations, errands, and collaboration with minimal prompting required from users. In this role, the selected candidate will bridge machine learning, systems engineering, and product development to convert model capabilities into reliable user experiences. Responsibilities include building end-to-end AI features, designing agent workflows and prompts, ensuring production reliability, and debugging issues across the entire stack. This position suits professionals with a solid machine learning foundation who enjoy operating in fast-paced, ambiguous environments with a strong bias toward shipping and continuous iteration.
Responsibilities
- Build and deploy AI features from the model layer through to the user experience
- Design and iterate on prompts, tools, memory, and agent workflows
- Convert raw model outputs into structured and predictable behaviors
- Debug technical issues spanning models, orchestration, infrastructure, and user interfaces
- Optimize systems for latency, cost, and production reliability
- Create lightweight evaluation frameworks to measure real-world performance
- Collaborate with product and engineering teams to translate ambiguous challenges into operational systems
Requirements
- Possess a strong foundation in machine learning and modern neural network architectures
- Have hands-on experience training, fine-tuning, or deploying machine learning models
- Demonstrate the ability to write clean, production-quality code
- Feel comfortable working across multiple abstraction layers from models to infrastructure and products
- Show strong problem-solving capabilities within fast-moving and ambiguous settings
- Maintain a bias toward shipping, iteration, and continuous improvement
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this an applied AI engineer position?
Yes, Bjak is hiring for the role of Applied AI Engineer.
What is the location and remote status for this role?
The posting specifies that the job is remote and full-time.
What is the salary for this position?
The job posting does not specify the salary for this role.
What does the interview process involve?
Candidates who fit the criteria will undergo three to four interviews conducted via virtual meetings and or onsite.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.