Why this grade This listing scored 48/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
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
Apply for this role Opens weworkremotely.com — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 12 Oct 2026 We Work Remotely first sighting
Seen on 1 board over 0 days.