Description review
Applied AI Engineers for telecommunications company
Toptal · USA Only · back to the listing
HR standards
53/100
needs work
Title ↔ description
77/100
solid
Reads as
Machine Learning Engineer
99% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
How others title the same work
Large employers
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- Senior AI Engineer – Notebooks Datadog
Startups
- Attendi | Medior Machine Learning Engineer | Amsterdam, Netherlands | ONSITE (hybrid) | €6,000 - €7,000 per month | Full-time (80–100%, ~4–5 days/week) | Visa sponsorship + 30% ruling possible Attendi
- Member of Technical Staff (applied) Anthrogen
- Aptura AI | Full-Time | MTS (Applied AI), MTS (SWE / Product) | London | ONSITE / HYBRID Aptura AI
- Arcforma AI (arcforma.ai) | AI Engineer (Marketing / Construction / Arcforma AI (arcforma.ai)
- Staff AI Engineer - Agent Architecture & Behavior Artisan
What the listing never says
- 19 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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
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