# Resourceful Talent Group (client undisclosed) — AI Automation & Generative AI Engineer

| Field | Value |
|---|---|
| **Date found** | 2026-05-26 |
| **Company** | Resourceful Talent Group (client undisclosed) |
| **Role** | AI Automation & Generative AI Engineer |
| **Location** | Remote |
| **Salary** | Undisclosed |
| **Job URL** | https://to.indeed.com/aa7vzwkbndrk |
| **Status** | New |

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## Company Research

Recruiting agency — client undisclosed. Described as "a rapidly growing organization in the U.S." — likely a SaaS startup or product company based on the preferred qualifications referencing "startups, SaaS companies, or product teams."

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## Job Summary

**What they do:** Unknown U.S. company building AI-powered automation and productivity solutions; Resourceful Talent Group is the recruiting intermediary.

**The role:** Hands-on AI engineer building LLM integrations, AI agents, RAG systems, and business automation workflows end-to-end for a U.S. company, fully remote.

**Core work:**
- Build and integrate AI agents, chatbots, RAG systems, and LLM-powered workflow automation tools
- Integrate Anthropic, OpenAI, Gemini APIs and agentic frameworks (LangChain, CrewAI, AutoGen) into business systems
- Design and deploy vector database–backed document search, knowledge base, and AI assistant solutions

**Stack:** Python · LangChain · CrewAI · AutoGen · Anthropic / OpenAI APIs · Pinecone · Weaviate · Chroma · AWS / GCP / Azure

**Work style:** Fully remote; international team; autonomous, self-directed work environment.

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## Score: 73%

| Dimension | Score | Justification |
|---|---|---|
| Agentic AI depth (25%) | 52% | AI agents and RAG present but scope is automation/integration rather than deep multi-agent orchestration or LLM systems engineering |
| Tech fit (25%) | 78% | LangChain, CrewAI, Anthropic APIs, vector DBs, Python — strong overlap with Luca's exact stack |
| Remote fit (25%) | 100% | Explicitly remote; designed for independent remote workers |
| Company culture fit (15%) | 58% | Signals startup/SaaS culture; "startups, SaaS companies, product teams" called out as standout experience; still uncertain due to undisclosed client |
| IC/leadership balance (10%) | 82% | Purely IC; emphasis on independent delivery and hands-on building |
| **Final (weighted)** | **73%** | |

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## Strengths

- Full tech stack overlap: Anthropic APIs, CrewAI, LangChain, vector DBs — Luca would hit the ground running
- Fully remote, independent work environment matches Luca's working style
- Broad scope allows demonstrating full range (RAG, agents, embeddings, prompt engineering) in one role

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## Weaknesses & Risks

- Client company is completely anonymous — culture, domain, salary and growth stage all unknown
- Agentic AI work is application-level integration, not deep system design — less intellectually stretching than Luca's target
- Salary undisclosed; U.S. company may apply USD-based bands that don't translate to €110k+ in Ireland
- Seniority level unstated — could be targeting a more junior profile given the broad, generalist scope

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## Suggestions

- Apply but treat as a secondary option; use it to validate market demand for this exact stack
- In initial contact, confirm salary range in EUR and the client company identity before investing time
- Ask: what is the client company's core product, and what does "growing organization" mean in terms of ARR or headcount?

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## Interview Tracker

| Stage | Date | Notes |
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| Applied | | |
| Recruiter screen | | |
| Technical interview | | |
| Final round | | |
| Offer / Outcome | | |