Applied AI Engineer Jobs

Discover the latest remote and onsite Applied AI Engineer roles across top active AI companies. Updated hourly.

Check out 76 new Applied AI Engineer opportunities posted on The Homebase

Healthcare & life sciences AI agent analyst (contract)

New
Top rated
Writer
Contractor
Full-time
Posted

Develop and implement AI agents for life sciences applications, including medical writing assistants, literature synthesis tools, regulatory document preparation systems, and research protocol generators. Design and execute comprehensive testing protocols to evaluate AI agent performance, scientific accuracy, and adherence to medical writing standards across diverse research and regulatory scenarios. Collaborate with Customer Operations and Life Sciences Industry leaders to translate research workflows, regulatory requirements, and publication standards into functional AI agent specifications. Guide technical and engineering teams in implementing best practices for medical AI development, including prompt engineering, retrieval-augmented generation, and scientific validation methodologies. Potential additional responsibilities include architecting and deploying multi-agent systems to orchestrate complex research workflows, leading research initiatives on novel applications of generative AI in medical writing, drug development, and scientific research, publishing findings, and providing training and mentorship on life sciences AI development principles, scientific integrity considerations, and regulatory compliance.

Undisclosed

()

London, United Kingdom
Maybe global
Remote

Senior Forward Deployed Engineer

New
Top rated
Harvey
Full-time
Full-time
Posted

As a senior Forward Deployed Engineer, the role involves embedding with enterprise customers such as Am Law firms, in-house teams at large enterprises, and other professional services organizations to develop cutting-edge AI systems into production-grade workflows that deliver measurable outcomes quickly. Responsibilities include mapping out workflows with customers, de-risking constraints, defining success metrics for custom builds, and designing, prototyping, and productionizing custom workflows by customizing knowledge sources, retrieval pipelines, tool use/agents, prompts, and guardrails to ensure reliability, observability, and scalability. The role also requires integrating workflows with client systems and data sources, building and maintaining evaluations and harnesses to capture real-world quality on a client basis, and feeding those signals into iteration loops and model choices. Additional responsibilities include operationalizing adoption through training, creating runbooks, and delivering durable playbooks to customer champions and Harvey product/engineering teams to ensure scaling beyond individual accounts, as well as surfacing field patterns that inform platform capabilities and future product development.

$200,000 – $260,000
Undisclosed
YEAR

(USD)

New York, United States
Maybe global
Onsite

Founding Engineer, Dubai

New
Top rated
Fractional AI
Full-time
Full-time
Posted

Design and develop custom AI solutions tailored to the unique needs of customers, ensuring seamless integration and scalability. Partner with a high-caliber team across the full project lifecycle, including requirements gathering, prototyping, system design, coding, testing, deployment, and support. Actively shape the engineering and broader company culture, influencing areas such as learning, hiring, and celebrations. Work closely with clients to understand their needs, participate in regular meetings and standups, and contribute to discussions around technical feasibility and project tradeoffs.

Undisclosed

()

Dubai, United Arab Emirates
Maybe global
Hybrid

Evaluation Scenario Writer - AI Agent Testing Specialist

New
Top rated
Mindrift
Part-time
Full-time
Posted

Contributors create structured test cases that simulate complex human workflows, define gold-standard behavior and scoring logic to evaluate agent actions, analyze agent logs, failure modes, and decision paths, work with code repositories and test frameworks to validate scenarios, iterate on prompts, instructions, and test cases to improve clarity and difficulty, and ensure that scenarios are production-ready, easy to run, and reusable.

$12 – $12 / hour
Undisclosed
HOUR

(USD)

India
Maybe global
Remote

Evaluation Scenario Writer - AI Agent Testing Specialist

New
Top rated
Mindrift
Part-time
Full-time
Posted

Contributors may create structured test cases that simulate complex human workflows, define gold-standard behavior and scoring logic to evaluate agent actions, analyze agent logs, failure modes, and decision paths, work with code repositories and test frameworks to validate scenarios, iterate on prompts, instructions, and test cases to improve clarity and difficulty, and ensure that scenarios are production-ready, easy to run, and reusable.

$50 / hour
Undisclosed
HOUR

(USD)

Germany
Maybe global
Remote

Evaluation Scenario Writer - AI Agent Testing Specialist

New
Top rated
Mindrift
Part-time
Full-time
Posted

Contributors may create structured test cases that simulate complex human workflows, define gold-standard behavior and scoring logic to evaluate agent actions, analyze agent logs, failure modes, and decision paths, work with code repositories and test frameworks to validate scenarios, iterate on prompts, instructions, and test cases to improve clarity and difficulty, and ensure that scenarios are production-ready, easy to run, and reusable.

$30 / hour
Undisclosed
HOUR

(USD)

Portugal
Maybe global
Remote

Evaluation Scenario Writer - AI Agent Testing Specialist

New
Top rated
Mindrift
Part-time
Full-time
Posted

Contributors create structured test cases that simulate complex human workflows, define gold-standard behavior and scoring logic to evaluate agent actions, analyze agent logs, failure modes, and decision paths, work with code repositories and test frameworks to validate scenarios, iterate on prompts, instructions, and test cases to improve clarity and difficulty, and ensure that scenarios are production-ready, easy to run, and reusable.

$80 / hour
Undisclosed
HOUR

(USD)

United States
Maybe global
Remote

Evaluation Scenario Writer - AI Agent Testing Specialist

New
Top rated
Mindrift
Part-time
Full-time
Posted

Contributors create structured test cases that simulate complex human workflows, define gold-standard behavior and scoring logic to evaluate agent actions, analyze agent logs, failure modes, and decision paths, work with code repositories and test frameworks to validate scenarios, iterate on prompts, instructions, and test cases to improve clarity and difficulty, and ensure scenarios are production-ready, easy to run, and reusable.

$45 / hour
Undisclosed
HOUR

(USD)

Australia
Maybe global
Remote

Evaluation Scenario Writer - AI Agent Testing Specialist

New
Top rated
Mindrift
Part-time
Full-time
Posted

Contributors create structured test cases that simulate complex human workflows, define gold-standard behavior and scoring logic to evaluate agent actions, analyze agent logs, failure modes, and decision paths, work with code repositories and test frameworks to validate scenarios, iterate on prompts, instructions, and test cases to improve clarity and difficulty, and ensure scenarios are production-ready, easy to run, and reusable.

$50 / hour
Undisclosed
HOUR

(USD)

Denmark
Maybe global
Remote

Evaluation Scenario Writer - AI Agent Testing Specialist

New
Top rated
Mindrift
Part-time
Full-time
Posted

Contributors create structured test cases that simulate complex human workflows, define gold-standard behavior and scoring logic to evaluate agent actions, analyze agent logs, failure modes, and decision paths, work with code repositories and test frameworks to validate scenarios, iterate on prompts, instructions, and test cases to improve clarity and difficulty, and ensure that scenarios are production-ready, easy to run, and reusable.

$24 – $24 / hour
Undisclosed
HOUR

(USD)

South Africa
Maybe global
Remote

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Frequently Asked Questions

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[{"question":"What does a Applied AI Engineer do?","answer":"Applied AI Engineers design, develop, and deploy AI and machine learning models into production systems. They manage the entire lifecycle from data preparation and feature engineering to model evaluation and retraining. These professionals build integrations via APIs and microservices, collaborate with cross-functional teams to align solutions with business needs, and optimize models for performance, scalability, and fairness in cloud environments."},{"question":"What skills are required for Applied AI Engineer?","answer":"Applied AI Engineers need strong programming skills in Python with libraries like NumPy and Pandas, proficiency with ML frameworks such as TensorFlow and PyTorch, and experience with cloud platforms like AWS SageMaker or Azure ML. They should understand NLP, computer vision, and generative AI concepts while demonstrating expertise in software engineering practices, data pipelines, and cross-functional collaboration."},{"question":"What qualifications are needed for Applied AI Engineer role?","answer":"Most AI jobs require a Bachelor's, Master's, or PhD in Computer Science, Engineering, Mathematics, Machine Learning, or a related technical field. Employers typically look for practical experience with machine learning model development and deployment in production environments. Demonstrating proficiency in both theoretical concepts and hands-on implementation of AI systems is essential for landing roles in applied artificial intelligence."},{"question":"What is the salary range for Applied AI Engineer job?","answer":"The research provided doesn't specify exact salary ranges for Applied AI Engineer positions. Compensation typically varies based on location, experience level, company size, and industry. AI engineering roles generally command competitive salaries due to the specialized technical skills required and high market demand for professionals who can successfully bridge research and production environments."},{"question":"How long does it take to get hired as a Applied AI Engineer?","answer":"The hiring timeline for Applied AI Engineer positions varies by company and specific role requirements. The process typically involves technical assessments of machine learning knowledge, coding tests, system design interviews, and discussions with cross-functional teams. Companies often evaluate both technical capabilities with tools like TensorFlow or PyTorch and practical experience deploying models to production, which can extend the hiring process."},{"question":"Are Applied AI Engineer job in demand?","answer":"Applied AI Engineer roles are currently in high demand as organizations seek professionals who can transform theoretical machine learning research into practical business solutions. Companies across industries need engineers who can design, deploy and maintain production ML systems. While the research doesn't provide exact hiring numbers, the specialized skill set combining AI expertise with software engineering capabilities makes these professionals valuable in today's job market."}]