Backend AI Engineer — Scalable ML Infra & APIs

Nexxa.ai

Sunnyvale (CA)

On-site

USD 140,000 - 220,000

Full time

3 days ago
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Job summary

Nexxa.ai is seeking a Backend AI Engineer to design, build, and own the core AI infrastructure powering our products in production. You will develop model-serving pipelines, inference services, data pipelines, and APIs that connect Generative AI, CV, and ML models to enterprise environments.

This role blends backend software engineering, ML infrastructure, and systems architecture. You will collaborate with Forward Deployed and product teams to deliver scalable, reliable backend capabilities at

Qualifications

  • 4–8+ years of backend software or ML infrastructure experience.
  • Strong TypeScript/Node.js backend, API and microservice design.
  • Bachelor's degree in CS or related field; ability to work across teams.

Responsibilities

  • Design, build, and maintain backend services and APIs powering model integrations.
  • Build and own AI/ML infrastructure: model-serving pipelines, inference; data pipelines.
  • Architect scalable systems for real-time and batch AI workloads.
  • Implement RAG systems, prompt pipelines, and orchestration layers.
  • Develop APIs, microservices, and integration layers with enterprise data.
  • Ensure reliability, performance, and observability of backend AI systems.
  • Collaborate with Forward Deployed, ML, and product teams to translate requirements.
  • Manage model versioning, rollout, and deployment pipelines.
  • Produce architecture diagrams, API specs, and runbooks.

Skills

Backend engineering
TypeScript/Node.js
Python
Distributed systems
API design
Cloud experience (AWS/GCP/Azure)

Education

Bachelor's degree in CS or related field

Tools

Docker
Kubernetes
Kafka
PyTorch
TensorFlow
OpenCV

Job description

Nexxa.ai is seeking a Backend AI Engineer to design, build, and own the core AI infrastructure powering our products in production. You will develop model-serving pipelines, inference services, data pipelines, and APIs that connect Generative AI, CV, and ML models to enterprise environments.

This role blends backend software engineering, ML infrastructure, and systems architecture. You will collaborate with Forward Deployed and product teams to deliver scalable, reliable backend capabilities at

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