Backend AI Engineer
Core
Design, build, and own the core AI infrastructure and services (model-serving pipelines, inference layers, data pipelines, APIs) that power Nexxa's autonomous AI systems for heavy industries.
Role type
Senior IC backend AI engineer (ML infrastructure)
Builds
Model-serving pipelines, inference and orchestration layers, data pipelines, and APIs/microservices connecting GenAI, Computer Vision, and ML models to enterprise environments.
Domain
Heavy industries (manufacturing, infrastructure, logistics) + ML infrastructure
Deliverable
production ML models
Required skills
TypeScript/Node.js, Python, distributed systems, cloud infrastructure (AWS/GCP/Azure), containerization (Docker/Kubernetes), data pipelines, RAG systems, system design, observability
Preferred skills
MLOps tooling, event-driven systems (Kafka/gRPC), industrial/IoT/OT environments, startup experience
Technologies
TypeScript, Node.js, Python, AWS, GCP, Azure, Docker, Kubernetes, Kafka, gRPC, WebSockets, PyTorch, TensorFlow, OpenCV
Responsibilities
Design and maintain backend services and APIs for GenAI/LLM/CV integrations; Build and own core AI/ML infrastructure including model-serving pipelines and vector stores; Architect scalable systems for real-time and batch AI workloads; Implement and optimize RAG systems and orchestration layers; Build robust APIs connecting AI systems to legacy systems; Own reliability, performance, and observability of backend AI systems; Evaluate and integrate ML/CV/LLM models into production; Produce technical documentation; Mentor engineers.
Seniority
Mid-to-Senior, hands-on IC
