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 focus)
Builds
Production-grade ML features, scalable backend systems, and containerized applications.
Domain
Artificial Intelligence, Large Language Models, Backend Engineering, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, LLM integration, prompt engineering, model finetuning, Kubernetes, Docker, REST API design, microservices architecture, distributed systems, debugging
Preferred skills
Vector databases, event-driven architecture, data pipelines
Technologies
OpenAI, Anthropic, FastAPI, Flask, Docker, Kubernetes (EKS, GKE, AKS), Kafka, Airflow, Prefect, Dagster
Responsibilities
Integrate LLMs into pipelines with prompting, workflows, and RAG; Design robust prompt engineering strategies; 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