AI Engineer (Agentic / GenAI)

Opsfleet REMOTE (EEA)

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Posted 03 Nov 2026

Last seen 03 Nov 2026

Location REMOTE (EEA)

Lifecycle fresh

Grade D

Why this grade This listing scored 52/100, which is a D. It lost the most ground on pay transparency. See the breakdown

Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
Description depth 14 / 20 How much the posting actually says about the work, measured in characters of real text.
Corroboration 5 / 10 Whether more than one source carries this listing.
Role specificity 3 / 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 →

This listing does not state a salary

$167k – $275k

That is the middle half of what comparable roles paid on this board over the last 90 days — 78 listings that did publish a figure, median $201k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.

What this role involves →

Description review

70/100 HR standards 81/100 Title ↔ description 28/100 Fit to the official role

Read the marked-up listing →

hn-hiring

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

Apply for this role Opens pt.linkedin.com — verified as the employer's own application page

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Where this listing came from

03 Nov 2026 Hacker News first sighting

Seen on 1 board over 0 days. The employer edited the description 1× since we first recorded it.