# HartleyCo (agency) — Senior Python/AI Engineer

| Field | Value |
|---|---|
| **Date found** | 2026-05-27 |
| **Company** | HartleyCo (recruiting agency — client undisclosed) |
| **Role** | Senior Python/AI Engineer |
| **Location** | EU Remote |
| **Salary** | Undisclosed |
| **Job URL** | https://www.linkedin.com/jobs/view/4417222449/ |
| **Status** | New |

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## Company Research

Recruiting agency — client undisclosed.

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## Job Summary

**What they do:** HartleyCo is a boutique tech recruitment firm placing engineers; client is described as a "fast-growing AI Product" company (identity undisclosed).

**The role:** Senior backend-leaning AI engineer building production AI systems end-to-end, including agents, RAG pipelines, and conversational systems.

**Core work:**
- Build AI agents and tool-use workflows
- Design and implement RAG / semantic search pipelines
- LLM orchestration, prompt workflows, and production-grade AI backends with FastAPI

**Stack:** Python · FastAPI · LangChain · LangGraph · OpenAI · PostgreSQL · Docker · AWS/GCP · vector databases · async systems

**Work style:** Fully remote, Europe-based; no on-site requirement stated.

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## Score: 83%

| Dimension | Score | Justification |
|---|---|---|
| Agentic AI depth (25%) | 80% | Explicit focus on AI agents, tool-use, LLM orchestration, RAG — core agentic AI work in production |
| Tech fit (25%) | 85% | Python, LangChain/LangGraph, vector DBs, AWS/GCP — near-perfect overlap with Luca's target stack |
| Remote fit (25%) | 95% | "Remote Europe" — fully remote, no on-site requirement |
| Company culture fit (15%) | 60% | Client unknown; described as fast-growing AI product — culture fit unverifiable |
| IC/leadership balance (10%) | 90% | Pure Senior IC engineer role, no management implied |
| **Final (weighted)** | **83%** | |

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## Strengths

- Stack is an almost exact match: Python, LangChain/LangGraph, FastAPI, vector DBs, cloud
- Genuine production AI agent and RAG work — not prototype or research
- Fully remote EU, no visa sponsorship needed (explicitly noted)
- "Builders not prompt engineers" framing aligns with Luca's hands-on profile

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## Weaknesses & Risks

- Recruiting agency with anonymous client — impossible to evaluate company culture, stability, or domain fit before first contact
- "6+ years FastAPI" requirement is very specific; Luca's FastAPI depth may need to be emphasised
- Salary undisclosed; could be below €100k for a startup
- No mention of seniority pathway or team structure

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## Suggestions

- Lead with production AI system experience from Fenergo (agentic doc parser) and cybersecurity NLP platform
- Highlight LangChain/LangGraph hands-on usage and RAG pipeline deployment
- Ask the recruiter early: what is the client company, domain, team size, and salary range?
- GitHub portfolio or open-source work would strengthen the application given their explicit request

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## Interview Tracker

| Stage | Date | Notes |
|---|---|---|
| Recruiter contacted | 2026-05-29 | Wrote to recruiter, waiting for reply before applying |
| Applied | | |
| Recruiter screen | | |
| Technical interview | | |
| Final round | | |
| Offer / Outcome | | |