Software Engineer (San Francisco)
Intelligence Architect
Conquer AI is hiring an Intelligence Architect to help us design and deliver real-world AI systems for enterprise clients.
This is not a research-only role, and it is not a strategy-only role.
We are looking for a strong software engineer who can work directly with clients, run technical discovery, shape use cases, and then build the solution from POC through MVP and Phase 1 delivery.
Think forward deployed engineer. A hands-on builder who can sit with business stakeholders, understand how work actually happens, and turn that into practical AI systems.
What we’re looking for
- Strong software engineering background
- Experience with RAG, LLMs, machine learning, and AI application development
- Strong hands-on skills in Python and Node.js
- Ability to design, build, and deploy production-ready systems
- Confident working directly with clients and cross-functional stakeholders
- Able to move from problem definition to technical architecture to delivery
- Strong communication, ownership, and execution skills
What you’ll do
- Work closely with clients to uncover high-value AI opportunities
- Lead discovery sessions and translate business problems into technical solutions
- Build POCs, MVPs, and early production systems
- Design workflows that combine retrieval, reasoning, automation, and human-in-the-loop review
- Operate as a trusted technical lead across both client-facing and delivery work
- Help ensure what gets built is usable, scalable, and grounded in real workflows
This role is a fit for you if
- 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
- We’d love to hear from engineers who want to build serious AI systems in the real world.
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