Senior Software Engineer (AI/LLM)

TL;DR

Senior Software Engineer (AI/LLM): Building and operating production AI voice agents for enterprise customers with an accent on prompt design, conversation behavior, and reliable API integrations. Focus on evaluating real conversations, hardening agents against edge cases and hallucinations, and debugging live systems under production constraints.

Location: Remote by design in a distributed organization

Company

hirify.global builds AI-powered voice agents and conversation intelligence software for contact centers, serving enterprise customers at production scale.

What you will do

• Own customer AI agents across discovery, design, implementation, evaluation, launch, and live operation.
• Map customer workflows and business rules into clear agent scopes, escalation paths, and success criteria.
• Design prompts, instructions, and conversation flows, iterating with evaluations and real transcripts.
• Integrate agents with CRMs, ticketing systems, internal services, and third-party APIs through reliable tool schemas.
• Build test sets covering happy paths, unhappy paths, edge cases, and hallucination risks; improve guardrails, latency, cost, and failure handling.
• Monitor live conversations and tool-call health, debug logs and transcripts, ship fixes, and share recurring product gaps.

Requirements

• Strong customer-facing communication and the ability to build trust with technical and non-technical stakeholders.
• Experience translating ambiguous business problems into concrete technical plans and clearly defined system behavior.
• Fluency with API integrations, endpoints, protocols, authentication, error handling, edge cases, and external systems.
• Ability to write precise LLM instructions and understand why prompts fail; an evaluation-first mindset and strong product judgment.
• A computer science degree or conventional software engineering title is not required; systems administration, integration engineering, and technical support backgrounds are welcome.

Nice to have

• General-purpose coding experience with TypeScript, Python, or SQL.
• Forward-deployed, solutions engineering, or customer-embedded experience.
• Conversational AI, voice AI, or contact center domain experience.
• Experience with LLM evaluation tooling and observability.

Culture & Benefits

• Distributed remote work with trust and flexibility around personal schedules.
• Company-wide offsites and smaller team gatherings for in-person connection.
• Conference, book, and course stipend.
• Flexible vacation, a paid sabbatical after five years, comprehensive benefits, and a physical and mental wellness stipend.
• Competitive compensation and equity in a growing AI company.
• Culture centered on ownership, humility, collaboration, honest feedback, and self-reflection.