You will lead the end-to-end delivery of AI agents for enterprise customers, serving as a hybrid engineer and trusted advisor. From mapping complex workflows and writing sophisticated prompts to wiring agents into customer APIs, you will ensure every interaction is seamless and reliable. This role measures success through customer outcomes on real production traffic.
Senior Software Engineer at Replicant
As a Senior Software Engineer for Agents, you will own the end-to-end delivery of AI agents that handle millions of monthly calls for Fortune 500 companies. This unique role sits at the intersection of prompt engineering, systems integration, and customer strategy. You will work on real production traffic with LLMs and voice AI, moving beyond demos to create agents that actually solve complex, real-world problems 24/7. It is an opportunity to master an in-demand skill set within a kind, ambitious team while working remotely across North America.
Want to apply for this role?
Jack finds you jobs at companies like Replicant. Talk to Jack to get considered for roles that fit what you're great at.
Location
Remote (United States)
Compensation
Not Disclosed
Company
Replicant
Role overview
Replicant is a conversational AI platform that automates customer service interactions across voice, text, chat, and SMS channels. It handles repetitive and frequent calls, resolves Tier One inquiries with zero wait time using natural language processing and agentic AI architecture, improves customer satisfaction, reduces costs, and frees human agents for complex issues. Founded in 2017, it serves contact centers in industries like retail, e-commerce, telecommunications, and banking with enterprise-grade reliability.
What you will do
- Design and implement complex AI agent behaviors, writing prompts and instructions that translate ambiguous business goals into strict, reliable conversational logic and workflows.
- Engineer robust integrations by connecting agents to customer CRMs and APIs, designing clean tool schemas, and handling authentication, error states, and edge cases for production scale.
- Monitor and harden agents through rigorous evaluation, building test sets from real conversations to mitigate hallucinations, reduce latency, and ensure high-quality, empathetic customer interactions.
Who this is a fit for
- Strong customer-facing skills with the ability to navigate ambiguous business problems, communicate technical concepts to non-technical stakeholders, and earn trust with skeptical enterprise partners.
- Fluency in integration patterns and system architecture, including hands-on experience shaping API requirements and debugging external third-party systems or under-documented customer endpoints.
- Expertise in prompt engineering and LLM behavior, with an eval-first mindset and a sharp product taste for what constitutes a high-quality, effective conversation in a production environment.
Why this role is remarkable
- Build on real production traffic: Move beyond demos and prototypes to deploy AI agents handling millions of calls for Fortune 500 innovators and high-growth companies.
- Master a category-defining skill set: Develop deep expertise in customer-embedded AI agent engineering, an emerging and highly sought-after field at the frontier of LLM-powered voice technology.
- High-autonomy, high-visibility environment: Work within a Series B team small enough that your engineering decisions directly impact customer success and are visible to leadership.
How Jack & Jill work together
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Replicant wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.