Software Engineer

About Us

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 role for a software engineer 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 can sit with business stakeholders, understand how work actually happens, and turn that into practical AI systems. We want engineers who are excited to build serious AI systems in the real world.

Technologies Used

• AI
• Architect
• Machine Learning
• Python
• NodeJS
• Machine-Learning

What We're Looking For

• We are looking for a strong software engineering background.
• We require experience with RAG, LLMs, machine learning, and AI application development.
• We need strong hands-on skills in Python and Node.js.
• We need the ability to design, build, and deploy production-ready systems.
• We need confidence working directly with clients and cross-functional stakeholders.
• We are looking for someone who can move from problem definition to technical architecture to delivery.
• We value strong communication, ownership, and execution skills.
• You are a builder first.
• You can speak to executives, operators, and engineers without losing the thread.
• You enjoy solving messy workflow problems with elegant technical systems.
• You want to work on high-impact AI delivery, not internal experiments.

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.

Salary

69 000 - 93 000    par an