About the role
We are looking for a Senior Software Engineer with 5+ years of experience to join a small, high-impact engineering team building AI-powered voice agents that handle millions of calls monthly for Fortune 500 companies. You'll work across four product teams — three focused on core product development and one operating as forward-deployed engineers — shipping full-stack features that directly power Replicant's LLM-based conversational AI platform.
What will you be doing?
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Build and ship full-stack product features that support and enhance Replicant's LLM-powered voice and chat products
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Work across product teams to deliver capabilities that help win deals and scale the platform (including forward-deployed engineering work)
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Integrate speech recognition, text-to-speech, and conversational AI model improvements into production systems
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Optimize and debug production systems balancing latency, cost, and user experience at enterprise scale
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Collaborate closely with product and ML teams in a fast-moving, startup environment where every engineer owns multiple initiatives
Key Requirements
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Proficiency in Python or TypeScript — this is a hard requirement (one or the other)
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Hands-on experience working with LLMs (multi-turn agents, prompt engineering, or tools like LangChain) — not just theoretical knowledge
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Full-stack engineering experience shipping solutions at scale in a startup or high-growth environment
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Startup mentality — self-starter who thinks outside the box, not a clock-in/clock-out engineer from big tech or government
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Located in the United States or Canada (visa transfers possible for exceptional senior candidates, but no new sponsorship)
About Replicant
Replicant is building the autonomous contact center — AI that answers every call, decides whether a specific AI agent or a human is best suited to resolve it, and manages the conversation end to end, getting better with every interaction. Founded in 2017 by Gadi Shamia, a veteran of CX innovation, and Benjamin Gleitzman, an accomplished technologist and former contact center agent during his time at MIT, Replicant understood from the start that customer service is just as much an art as it is a science.
Replicant starts with voice — the channel people reach for first and the hardest to automate well — and has been running AI agents in production for enterprises since 2020. The bots Replicant delivers are the product, which means engineering sits unusually close to customer outcomes. This is a genuine AI company building a real AI-based product, not just putting AI on the website.
Customer service is a nearly trillion-dollar problem that is barely one percent automated and moving fast. Replicant's mission since 2017 has been to use AI to resolve as many conversations as possible while elevating human agents to do what they are uniquely good at. The company's platform spans telephony and real-time voice infrastructure, speech recognition and voice models, large language models with model orchestration and failover, reasoning runtimes, bot-building UI and conversation-design tooling, ML infrastructure and evaluation, and big-data analytics for production performance.
Replicant is a Series B company backed by $113M in funding from investors including Norwest, Salesforce Ventures, Stripes, Omega Venture Partners, Costanoa Ventures, Bloomberg Beta, and Atomic. The company is approximately 175 people, with about a third of the company in engineering. Replicant is 100% remote, distributed across the United States and Canada, with intentional in-person gatherings roughly every six weeks.
The company is lean by design — a small, senior team does the work of a group several times its size, and every engineer owns multiple initiatives. Replicant has reinvented its product, its sales process, and how it deploys to customers, and is actively pushing the culture toward a fail-fast, entrepreneurial mentality: try things, make mistakes quickly, learn, and move on.
Required skills
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Job details
Salary
$130,000 - $190,000
Location
Remote
Experience
5+ years
Funding
Total raised
$113M
Last stage
Series B
Investors
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.