Lemlist
via Ashby
Senior Applied AI Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 11d ago
The date the source published, not the day we noticed it (2026-09-03). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
France
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay €68.1k–102.5k/yr
Middle 50% of 8 listings that do state pay — Engineering · all levels · France · EUR/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 11d ago · last seen 1h ago
The listing
The project
The SaaS industry is shifting from rigid UIs manually operated by humans to proactive systems built around in-depth domain expertise that deliver outcomes for users.
The sales automation software industry is at the center of this agentic revolution.
With thousands of customers using our platform every day and extensive proprietary data, lemlist is determined to chart the future of agentic AI for sellers.
We are building the AI-native agentic system that automates the heavy lifting of prospecting and pipeline generation and consistently improves at generating new business opportunities for our customers.
The role
As an applied AI engineer, you turn the raw intelligence of LLMs into a reliable product in production. Agent orchestration, context engineering, memory management, retrieval, and evaluation are at the center of your day-to-day work in collaboration with software engineers and product teams.
You are responsible for ensuring our system delivers the best possible outcomes for our customers. In practice:
You consistently look for the best quality/latency/cost trade-offs.
You own our evaluation and guardrails system ensuring reliability and safety.
You own our context engineering system.
You consistently improve our AI product by identifying and implementing new opportunities at every level.
What we are looking for:
Mindset:
You have an entrepreneurial mindset. You are a proactive doer, resilient, and accountable.
Everyone talks to users! You are user-centric and excited about the real-world impact of your AI product.
You have a deep curiosity for the AI space.
You are fine with a high-speed, high-ambiguity environment. You are ready to embrace how fast things are moving in the Agent AI space.
You consistently improve your agentic coding tool setup (Claude code, Codex,...)
Experience:
10+ years of experience in software development or data science, engineering production systems using modern programming languages.
Deep knowledge of LLM architecture, prompting, context engineering, and vector database workflows.
Hands-on experience building agentic systems, using orchestration frameworks (e.g., LangGraph, Agno, Mastra, custom), and running evaluations.
Entrepreneurial experience is a real plus.