AI Platform Engineer

Serverless Ventures () 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 to build to deploy to 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/No
    
    SQL)
  • 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, Open Claw 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 Git Hub 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