Software Engineer
Conquer Technology US
Santa Clara, United States of America
3 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Santa Clara, United States of America
Tech stack
Artificial Intelligence
Python
Machine Learning
Node.js
Software Engineering
Large Language Models
Job description
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., * 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
Requirements
- 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, * 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.