AI Platform Engineer

Binary; Austin (TX); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

High ownership from day one

Work directly with founders

Fast-paced work environment

Job summary

Serverless Ventures is seeking an AI Platform Engineer in Austin, TX to build AI-native systems at the intersection of Edge AI and software generation. In this hands-on role, you'll work directly with founders to design and build scalable systems.

The ideal candidate should have 4+ years of experience and be comfortable with backend architecture and API design. You'll take ownership from design to deployment, contributing to impactful real-world systems.

Qualifications

• 4+ years of hands-on software engineering experience.
• Proven experience shipping production systems.
• Strong curiosity and sustained engagement with the AI/LLM ecosystem.

Responsibilities

• Design and build production-grade backend systems and APIs.
• Develop AI-native applications and LLM-powered workflows.
• Take full ownership of projects and deliver on deadlines.

Skills

Programming skills in Python, Go, Rust

Backend architecture

Distributed systems basics

API design and integration

Experience with Production deployments

Database design (SQL/NoSQL)

System performance optimization

Exposure to cloud platforms (AWS, GCP, Azure)

Education

Bachelor’s or Master’s in Computer Science, Engineering, IT

Tools

AWS

GCP

Azure

Job description

Serverless Ventures (www.serverlessvc.com) is hiring a AI Platform Engineer to build AI-native systems at the intersection of Edge AI, Vertical AI, and large-scale software and content generation.

We're looking for someone who builds production systems, not prototypes. Someone who can take a problem from ambiguity to architecture to deployment without waiting to be told what to do next.

If you think in systems, care about performance, and take ownership seriously, keep reading.

About the Role

This is a hands-on, high-ownership engineering role.

You will work directly with founders and core engineering to design and build scalable, production-grade systems from scratch.

With 4+ years of experience, you are expected to:

• Operate independently
• Make sound architectural decisions
• Deliver clean, scalable, maintainable systems

We move fast. Deadlines are real. Quality is non-negotiable.

Location

Remote – USA

Austin, TX, USA (local candidates preferred)

We work in person or remote with speed, clarity, and tight feedback loops.

What You’ll Do

• Design and build production-grade backend systems and APIs
• Develop AI-native applications and LLM-powered workflows
• Architect systems for scalability, reliability, and performance
• Integrate third-party APIs, SDKs, and services
• Own services end-to-end (design to build to deploy to monitor)
• Collaborate directly with product and founders on technical direction

Responsibilities

• Build systems that handle real-world scale, not demo traffic
• Write clean, modular, well-documented code
• Design robust APIs and service architectures
• Ensure performance, reliability, and observability
• Take full ownership of projects and deliver on deadlines
• Identify and resolve bottlenecks proactively

Skills We’re Looking For

• Strong programming skills in one or more: Python, Go, Rust
• Solid understanding of:
  • Backend architecture
  • Distributed systems basics
  • API design and integration
• Experience with:
  • Production deployments
  • Database design (SQL/NoSQL)
  • System performance optimization
• Familiarity with:
  • AI/ML or LLM-based systems (preferred, not mandatory)
  • Modern developer tools and workflows
  • Built applications using Hermes Agent, Deer Flow, OpenClaw etc.
• Strong curiosity, problem-solving ability and system thinking
• Exposure to cloud platforms (AWS, GCP, Azure)
• Experience with AI/LLM systems or integrations
• Open-source contributions or strong GitHub profile

Experience

• 4+ years of hands-on software engineering experience
• Proven experience shipping production systems
• Experience in startup or fast-paced environments preferred
• Track record of owning and delivering end-to-end projects

Qualifications

• Bachelor’s or Master’s in Computer Science, Engineering, IT, or related field
• Equivalent practical experience accepted if output is strong (code, systems, writing)
• Strong curiosity and sustained engagement with AI/LLM ecosystem is expected baseline

Why Join Us

• Build at the frontier of AI + systems engineering
• High ownership from day one
• Work directly with founders
• No bureaucracy, no slow cycles
• Real systems, real users, real impact
• Fastest way to level up if you can keep up