Description review
Opsfleet | AI Engineer (Agentic / GenAI) | REMOTE (EEA) | Full-time
Opsfleet · REMOTE (EEA) · back to the listing
HR standards
70/100
solid
Title ↔ description
81/100
solid
Reads as
Machine Learning Engineer
91% 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
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Startups
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What the listing never says
- 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.
Fully remote cloud & AI services company (founded 2015, 70+ engineers, AWS Premier, Google Cloud & Snowflake Partner) with a growing GenAI practice and several active client projects.
You'll build production LLM agents for clients: multi-agent systems, tool use and RAG, in Python, on AWS Bedrock and GCP Vertex AI. Direct client contact.
We're looking for a hands-on engineer (not a research or prompt-only role) who has built and shipped LLM agents to production, with frameworks like Strands Agents, LangChain, Agno, Deep Agents, Google ADK or Claude Agent SDK.
Just as important: we hire good people. Communicative, collaborative, eager to learn and happy to take ownership. That's what makes people succeed here, with clients and with the team.
Process: intro call -> take-home assignment -> technical interview -> offer.
Apply: https://www.linkedin.com/jobs/view/4478769287/ or [email protected], please mention HN
You'll build production LLM agents for clients: multi-agent systems, tool use and RAG, in Python, on AWS Bedrock and GCP Vertex AI. Direct client contact.
We're looking for a hands-on engineer (not a research or prompt-only role) who has built and shipped LLM agents to production, with frameworks like Strands Agents, LangChain, Agno, Deep Agents, Google ADK or Claude Agent SDK.
Just as important: we hire good people. Communicative, collaborative, eager to learn and happy to take ownership. That's what makes people succeed here, with clients and with the team.
Process: intro call -> take-home assignment -> technical interview -> offer.
Apply: https://www.linkedin.com/jobs/view/4478769287/ or [email protected], please mention HN