AI /ML Engineer

Location: Remote (for USA residents)

What makes you a strong candidate

• Proficiency in AWS, Airflow, Claude, Docker, Generative Artificial Intelligence (Generative AI), Kubernetes, LangChain, LangGraph, Large Language Models (LLMs), MLflow, Machine Learning, Microsoft Azure, OpenAI API, PyTorch, Python, Retrieval-Augmented Generation (RAG), SQL, Spark SQL, TensorFlow, and Vector Databases
• Conversational English

Responsibilities

• Build AI-powered applications and intelligent agents
• Develop and deploy LLM and Generative AI solutions
• Design machine learning pipelines and production systems
• Fine-tune and evaluate AI models
• Build Retrieval-Augmented Generation (RAG) applications
• Develop multi-agent AI systems and orchestration workflows
• Work with cloud platforms and scalable AI infrastructure
• Collaborate with product, engineering, and research teams

Qualifications

• Experience with Python and modern AI/ML frameworks
• Knowledge of LLMs, RAG, and Generative AI
• Experience deploying AI applications in production
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
• Strong problem-solving and communication skills

Opportunities are available in San Francisco, New York, Boston, Seattle, and remote. Hybrid and on-site roles may be available, with some offering visa sponsorship for qualified international candidates.