Senior Machine Learning Engineer
Core
Design, develop, and deploy AI-powered systems combining hands-on ML engineering, backend development, and LLM integration.
Role type
Senior Machine Learning Engineer (LLM & Backend)
Builds
Production-grade ML features, scalable backend systems, and containerized services
Domain
Artificial Intelligence, Large Language Models, Backend Engineering, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, LLM integration, prompt engineering, model finetuning, Kubernetes, Docker, REST API design, microservices architecture, distributed systems
Preferred skills
Vector databases, event-driven architecture, data pipelines
Technologies
OpenAI, Anthropic, FastAPI, Flask, Docker, Kubernetes (EKS/GKE/AKS), CI/CD, Kafka, Airflow, Pinecone, Weaviate, FAISS
Responsibilities
Integrate LLMs into pipelines with prompting and RAG; Build, train, and optimize ML/LLM models; Develop scalable backend systems and REST APIs; Manage model and service deployments on Kubernetes; Provide technical guidance to junior engineers
Seniority
Senior, hands-on IC with leadership responsibilities
