Senior Software Engineer at Replicant

Job summary

Design and deliver reliable AI agent behaviors, prompts, and workflows that translate enterprise business goals into effective production conversations. Integrate agents with customer CRMs and APIs, then evaluate and harden them using real conversation data to improve quality, reliability, and latency.

Job details

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack. Job Title Senior Software Engineer, Agents Salary Not Disclosed Company Description Replicant is a Series B San Francisco-based conversational AI company that builds LLM-powered voice agents handling millions of monthly calls for Fortune 500 companies. Job Description 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. Location Remote, USA & Canada 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. 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. The ideal candidate 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. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. How does this work? 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 it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

What you’ll do

Design and deliver reliable AI agent behaviors, prompts, and workflows that translate enterprise business goals into effective production conversations. Integrate agents with customer CRMs and APIs, then evaluate and harden them using real conversation data to improve quality, reliability, and latency.

Requirements

Candidates should have strong customer-facing skills and be able to clarify ambiguous business problems, explain technical concepts to non-technical stakeholders, and build trust with enterprise partners. They should also bring experience with API integrations and system architecture, prompt engineering and LLM behavior, and an evaluation-first approach to production conversation quality.

Listed skills

• prompt engineering · Preferred
• Workflow Design · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• AI Agent Engineering
• Prompt Engineering
• LLM Behavior
• API Integration
• System Architecture
• CRM Integration
• Customer-Facing Communication
• Workflow Design
• Evaluation and Testing
• Debugging
• Authentication
• Production Monitoring
• Latency Optimization
• Conversational AI
• Stakeholder Communication

Job areas

• Software
• Technology
• Engineering
• Customer Service & Support