AI Engineer - WFH
Company: Torentify
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-11-09
About this role
About the Role
A high-growth applied AI company is seeking an AI Engineer to build production-ready AI agents that automate complex enterprise workflows. The company is developing infrastructure that connects fragmented enterprise data, creates business context, and enables AI agents to execute high-value business processes.
With significant commercial traction already established, the company is expanding its deliberately lean engineering team. In this role, you will take ownership of customer problems from initial discovery through production, working across AI, backend engineering, data, and product development. You will also collaborate directly with customers and technical leadership to build reliable systems that deliver practical business outcomes.
Key Responsibilities
- Build and deploy production AI agents for complex enterprise workflows.
- Take ownership of customer problems from initial discovery through production implementation.
- Design systems that connect and work with complex, fragmented enterprise data.
- Improve agent reliability, performance, and failure handling.
- Develop reusable agent and platform infrastructure.
- Work directly with customers and technical leadership on product and engineering requirements.
- Contribute across AI, backend, data, and product-related initiatives.
Required Qualifications
- Experience building and owning AI agents in production environments.
- Strong backend development and software engineering fundamentals.
- Experience working with production large language model (LLM) systems and understanding their failure modes.
- Ability to work across AI, backend engineering, data, and product development.
- Strong ownership and the ability to operate effectively in ambiguous environments.
Preferred Qualifications
- Startup experience is strongly preferred.
Technical Stack
- Large language models (LLMs) and agentic systems.
- Backend and distributed systems.
- Enterprise data integrations.
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