CA
Software Engineer
Conquer AI
Strasbourg · On-site Full-time €69k – €93k/yr 3w ago
About the role
About Conquer AI
We are Conquer AI, and we are hiring an Intelligence Architect to help us design and deliver real-world AI systems for enterprise clients. This is a hands-on, forward-deployed engineering role for someone who can work directly with clients, run technical discovery, shape use cases, and build solutions from POC through MVP and Phase 1 delivery. We are looking for someone who is strong on both software engineering and client-facing execution, and who wants to build serious AI systems in the real world.
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Responsibilities
- We work closely with clients to uncover high-value AI opportunities.
- We lead discovery sessions and translate business problems into technical solutions.
- We build POCs, MVPs, and early production systems.
- We design workflows that combine retrieval, reasoning, automation, and human-in-the-loop review.
- We operate as a trusted technical lead across both client-facing and delivery work.
- We help ensure what gets built is usable, scalable, and grounded in real workflows.
Requirements
- We are looking for a strong software engineering background.
- We have experience with RAG, LLMs, machine learning, and AI application development.
- We have strong hands-on skills in Python and Node.js.
- We can design, build, and deploy production-ready systems.
- We are confident working directly with clients and cross-functional stakeholders.
- We can move from problem definition to technical architecture to delivery.
- We have strong communication, ownership, and execution skills.
- We are builders first.
- We can speak to executives, operators, and engineers without losing the thread.
- We enjoy solving messy workflow problems with elegant technical systems.
- We want to work on high-impact AI delivery, not internal experiments.
Tech Stack
- AI
- Architect
- Machine Learning
- Python
- NodeJS
- Machine-Learning
Salary
69 000 - 93 000 € per year
Skills
AIArchitectLLMsMachine LearningNodeJSPythonRAG
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