AI Infrastructure Engineer
Santa Monica, CA
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At Kixie, we’re building a modern, all-in-one sales engagement platform that helps teams work smarter and close deals faster. Our cloud-based calling and texting solution integrates seamlessly with leading CRMs like HubSpot, Salesforce, and Pipedrive to streamline workflows, automate outreach, and provide real-time insights and reporting. Designed to support both sales and support teams, Kixie enables reps to take the right action at the right time—boosting efficiency, consistency, and impact. If you’re excited to shape the future of sales technology, we’d love to hear from you.
Overview
As our first AI Infrastructure Engineer at Kixie, you’ll play a foundational role in designing and building the critical systems that power our next-generation AI products. From core agent execution layers to specialized memory pipelines, your work will be at the heart of making AI smarter, faster, and more reliable.
If you’re passionate about scaling AI systems, optimizing performance, and building infrastructure that pushes the boundaries of what’s possible, we’d love to meet you.
Overview
As our first AI Infrastructure Engineer at Kixie, you’ll play a foundational role in designing and building the critical systems that power our next-generation AI products. From core agent execution layers to specialized memory pipelines, your work will be at the heart of making AI smarter, faster, and more reliable.
If you’re passionate about scaling AI systems, optimizing performance, and building infrastructure that pushes the boundaries of what’s possible, we’d love to meet you.
You’ll Work On
- The AI engine that turns sales teams into 24/7 revenue machines. (EX: A plumber’s best lead opens an email at midnight → your system chooses: AI calls now, rep at 7 AM, or trigger the closing sequence.)
- Architecting prompt router + agent API layer
- Building eval loop with feedback signals from calls, CRM, SMS
- Plugging into our existing backend (Node.js + Typescript) with scoped AI modules
- Deploying agents with clear scoring, fallback, and traceability
- Designing infra to scale across verticals like insurance, lending, and solar
What You Bring
- Shipped LLM products that moved revenue
- Can diagram lead → score → action in <50ms
- Know why most AI SDRs fail — and how to fix it
- Optimize for customer dollars, not model metrics
Requirements
- 4+ years in backend, infra, or systems roles (Python, Node, Go)
- Strong hands-on experience with OpenAI/Anthropic APIs, LangChain, RAG
- Built something live using prompt orchestration, eval scoring, or fallback flows
- Ability to move fast, own infra end-to-end, and deliver results in production
- Bonus: startup experience, vertical SaaS, or voice/text agent background
Why Now
- We’re a growth stage profitable software company, but still running lean
- You’ll own everything from architecture → live agent → first eval loop
- 10 years of call data + CRM + vertical-specific GTM = compounding moat
- The team is fast, clear, and serious about building the category
Why It Matters
- Everyone’s building “AI for sales. ”You’re building AI that sells — the orchestration layer that replaces broken workflows. A roofer competes with a Fortune 500 team. David beats Goliath.
Benefits and Perks
- Comprehensive Benefits – Medical, dental, and vision insurance
- Unlimited PTO + generous sick leave, and paid holidays
- Pet-Friendly Office – so your furry friends can be part of your workday
- Free Parking – Secure garage parking on the Promenade
- Career development opportunities and continuous learning
- Join a dynamic, collaborative, and supportive team environment
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Deep Learning Jobs
Engineering Jobs
Tags: Anthropic APIs Architecture HubSpot LangChain LLMs ML infrastructure Node.js OpenAI Pipelines Python RAG Salesforce TypeScript
Perks/benefits: Career development Health care Medical leave Pet friendly Startup environment Unlimited paid time off
Region:
North America
Country:
United States
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