Founders Initiatives, Technical Ex-Founders
Listed on 2026-06-19
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IT/Tech
AI Engineer (Applied/Software)
ABOUT RETELL AI
Retell AI is using first principles to reimagine the call center with cutting-edge voice AI.
Thousands of companies now utilize Retell’s AI voice agents to handle sales, support, and logistics calls that once required large teams of human agents. Backed by Y Combinator, Alt Capital, and other leading investors, we have scaled rapidly to tens of millions in ARR with a small, high-velocity team.
Our vision is to build a modern customer experience platform where AI agents operate as frontline workers, QA systems, and operational managers—continuously executing, monitoring, and improving customer interactions.
We’re looking for builders who want to work on the hardest problems in applied AI, move fast, and have outsized ownership in shaping the company.
Let’s build the future together.
We’re a top 50 AI app in a16z list:
#4 on Brex's Fast-Growing Software Vendors of 2025:
We're also one of the top ranking startups on:
Enterprise tech 30: https://(Use the "Apply for this Job" box below)./overview
Founders Initiatives is a cross-functional team that works directly with Retell's founders on the company's highest-priority opportunities and challenges. Team members are expected to operate across functions, build from first principles, and help scale the business in whatever way creates the most impact.
This is not a narrowly scoped role, it is a high-ownership builder position where you will work across product, engineering, GTM, operations, and AI systems to design and ship core company infrastructure.
ABOUTTHE ROLE
We are hiring a Founders Initiatives, Technical Ex-Founders to design and implement internal and external AI systems that power how Retell hires, sells, operates, and scales.
You will be responsible for building production-grade AI workflows, automations, and agent systems that directly impact company operations and customer experience.
This role sits at the intersection of applied AI, full-stack engineering, and startup operations.
KEY RESPONSIBILITIES HR & Recruiting AI SystemsBuild systems that extract structured signals from resumes (skills, experience, founder traits, domain expertise)
Develop lead scoring models to predict interview success and role fit
Design AI recruiter workflows for candidate screening and qualification
Automate personalized outbound email and candidate engagement workflows
Build automation systems for customer security workflows (BAAs, DPAs, Docu Sign, contract review flows)
Automate security questionnaire and compliance response generation
Improve internal tooling for enterprise readiness and audit processes
Build systems for accounts receivable automation and finance-related email workflows
Create automated enterprise customer onboarding and account setup tools
Design internal systems that reduce manual operational overhead across teams
Integrate with CRM systems such as Salesforce, Hub Spot, and Go High Level
Build workflow automation using tools like Zapier, n8n, and Make
Design LLM-powered systems using OpenAI, Gemini, Claude, and other models
Own API-based integrations that connect internal systems across the company
Build Hub Spot and Lark automations to improve sales and marketing efficiency
Develop lifecycle automation systems for customer engagement and retention
Create targeted website personalization and ad content generation systems
Build email personalization and outbound automation pipelines at scale
Have a Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field.
Have 2+ years professional software engineering experience
Have 1+ year of startup experience and are comfortable with ambiguity and fast iteration.
Think like a founder and operate with high ownership
Have strong software engineering skills (backend, full-stack, or systems)
Have hands-on experience building with LLMs or AI agents in production
Are comfortable working across product, engineering, and operations
Move fast, iterate quickly, and are comfortable with ambiguity
Prefer building systems over…
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