Job Title: Applied AI Engineers (Senior AI Professional) for a telecommunications company
Company: Toptal
Job Type: Remote
Location: Remote
Salary/Pay: Not stated
Experience: Deep expertise in machine learning and applied AI, with experience building and deploying production-level AI/ML services. Years aren't stated.
Skills Required:
- Deep expertise in machine learning and applied AI
- Strong software engineering and coding skills
- Experience building, deploying, and optimising LLM- and agent-based applications
- Strong knowledge of prompt engineering and optimisation
- Strong knowledge of model evaluation, benchmarking, and AI quality, reliability, and performance measurement
- Knowledge of agent behaviour and orchestration
- Ability to design and run meaningful evaluations and interpret the results
- Experience with APIs, data pipelines, backend systems, and AI platforms
- Familiarity with modern AI tools, frameworks, and cloud environments
- Strong communication skills and the ability to work with platform engineers, product teams, and business stakeholders
- Advantageous: Python, and a background as an Applied AI Scientist, AI Engineer or Machine Learning Engineer
Application Deadline: Nov 11th, 2026
Description:
A telecommunications company is looking for senior applied AI engineers to help design, develop and optimise production-grade agentic AI solutions. The role complements an existing platform engineering team and focuses on turning AI concepts into reliable, scalable software rather than research.
Key responsibilities include:
- Designing, developing and optimising production-grade agentic AI solutions
- Running meaningful evaluations to improve prompts, model behaviour, orchestration, reliability and performance in production
- Working with platform engineers, product teams and business stakeholders to improve AI quality and reliability
Engagement highlights: you would own a defined production AI workstream with direct impact on reliability and scale, and work closely with the existing platform engineering team.
How to Apply:
Apply through We Work Remotely.