Backend AI Engineer

What you'll do

• Design backend APIs, microservices, and integration layers for AI model connections to enterprise and operational systems.
• Build and maintain model-serving, inference, data-pipeline, RAG, and orchestration systems.
• Own system scalability, reliability, performance, and observability, and collaborate with engineering and product teams.

What they ask for

• 4–8+ years of experience in backend software engineering, ML/platform engineering, or similar roles.
• Strong proficiency in TypeScript/Node.js and API and microservice design.
• Experience operating production backend systems at scale and integrating ML or Generative AI models into backend services.
• Experience with cloud infrastructure, containerization, data pipelines, and RAG systems; Bachelor's degree or higher in Computer Science or a related field.

Nice to have

• Familiarity with PyTorch, TensorFlow, or OpenCV.
• Experience with MLOps tooling, event-driven or real-time systems, or industrial, IoT, or OT environments.

Tools

TypeScript/Node.js, Python, AWS, GCP, Azure, Docker, Kubernetes, PyTorch

AI focus

Build infrastructure and backend services for production GenAI, LLM, Computer Vision, and ML systems, including model serving, inference, RAG, orchestration, and data pipelines.