AI Software Engineer

WebAI
Austin
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: []

We are seeking an AI Software Engineer focused on high-performance computing and ML inference to turn raw models into scalable, low-latency production software. You will own deployment, data pipelines, and optimization for edge and cloud environments, collaborating closely with ML researchers to produce reliable, production-grade code.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
WebAI
WebAI
4 months ago

AI Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

We are seeking an AI Software Engineer focused on high-performance computing and ML inference to turn raw models into scalable, low-latency production software. You will own deployment, data pipelines, and optimization for edge and cloud environments, collaborating closely with ML researchers to produce reliable, production-grade code.
Location: Austin
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Model Deployment: Wrap models in high-performance APIs and integrate them into the broader software ecosystem.
  • •Data Engineering: Build and maintain the ETL pipelines that feed experimentation and production inference engines.
  • •Optimization: Implement pruning, quantization, and distillation for edge and high-traffic cloud environments.
  • •System Testing: Develop robust testing suites for AI behaviors, including regression testing for hallucinations or bias.
  • •Collaboration: Refactor research code into production-grade, maintainable software in collaboration with the AI Scientist.

Pay and Benefits

Equity and Bonus:Equity
Perks:Health InsuranceEquity401kContinuing EducationFree ParkingParential Leave

Key Requirements

  • •5+ years in Software Engineering with a focus on ML-specific systems and distributed computing
  • •Proficiency in C++ and Python
  • •Experience with Docker and Kubernetes
  • •Familiarity with vector databases (Pinecone, Weaviate)
  • •CI/CD for ML pipelines and production-grade software
Experience:5+ yearsArtificial intelligenceMachine learningDistributed computingEdge computing
Education:Bachelor's
Tech Stack:C++PythonDockerKubernetesPineconeWeaviateCI/CD

Company Brief

WebAI
Provides an AI platform to build, deploy, and manage web-based AI applications, offering tools for natural language, vision, and web automation so businesses and developers can integrate intelligent features into websites and products.
Industry: AI & Machine Learning
Website