
Remote, USA, Austin, TX, USA
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.
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.
Remote – USA
Austin, TX, USA (local candidates preferred)
We work in person or remote with speed, clarity, and tight feedback loops.
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 → build → deploy → monitor)
Collaborate directly with product and founders on technical direction
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
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
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
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
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
Most engineers follow specs. We’re looking for engineers who define them.
If that sounds like you, let’s talk.
Note:
Please answer the questions below using the STAR (Situation, Task, Action, Result) format. Be specific, concise, and quantify impact wherever possible.
We read these responses carefully and use them to understand how you think, execute, and create meaningful outcomes.