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This listing is categorized as Engineering. Compare the responsibilities and required experience with your background. Check the employer's application page for the latest availability, work authorization rules, and deadlines.
The role is described as remote (USA Only). Remote does not always mean applicants from every country qualify; confirm your country and time-zone eligibility.
Full job description
Headquarters:
Summary
The Senior AI Professional will help design, develop, and optimize production-grade agentic AI solutions. This role complements an existing platform engineering team and focuses on turning AI concepts into reliable, scalable software rather than purely research-oriented work.
General information
This engagement requires deep hands-on expertise in machine learning and applied AI, with a strong emphasis on prompt optimization, model behavior, agent orchestration, and evaluation. The work will involve collaborating with platform engineers, product teams, and business stakeholders to improve AI quality, reliability, and performance in production environments.
Tasks and Deliverables
Design, develop, and optimize production-grade agentic AI solutions.
Run meaningful evaluations to improve prompts, model behavior, orchestration, reliability, and performance in production.
Required experience
- Deep expertise in machine learning and applied AI.
- Experience building and deploying production-level AI/ML services.
- Strong software engineering and coding skills.
- Experience developing or optimizing LLM- and agent-based applications.
- Strong knowledge of prompt engineering and optimization.
- Strong knowledge of model evaluation and benchmarking.
- Strong knowledge of AI quality, reliability, and performance measurement.
- Strong knowledge of agent behavior and orchestration.
- Ability to design and run meaningful evaluations and interpret results.
- Experience with APIs, data pipelines, backend systems, and AI platforms.
- Familiarity with modern AI tools, frameworks, and cloud environments.
- Ability to collaborate with platform engineers, product teams, and business stakeholders.
- Strong communication skills and experience delivering maintainable, production-quality solutions.
Nice to have:
- Python experience.
- Background as an Applied AI Scientist, AI Engineer, or Machine Learning Engineer.
- Engagement highlights
- Own a defined production AI workstream with direct impact on reliability and scale.
- Work closely with an existing platform engineering team on applied AI delivery.
- Focus on production-grade AI implementation rather than purely research-oriented work.
To apply: https://weworkremotely.com/remote-jobs/toptal-applied-ai-engineers-for-telecommunications-company
Common questions about this role
Is Applied AI Engineers for telecommunications company at Toptal a remote job?
Yes. The listing describes a fully remote full-time role, with applications described for United States. The employer notes: USA Only.
How do I apply?
Use the apply button to open the application link supplied with the listing. It may lead to a partner board.