Senior Artificial Intelligence (AI) Developer
Core
Design, build, and deploy AI and machine learning solutions, including LLM-powered features, RAG pipelines, and automation workflows to drive business transformation.
Role type
Senior IC AI/ML engineer (LLM & RAG)
Builds
Production AI models, intelligent automation workflows, and data-driven applications
Domain
Artificial Intelligence / Machine Learning / Large Language Models
Deliverable
production ML models
Required skills
Python, ML libraries (Scikit-learn, PyTorch, TensorFlow, HuggingFace), LLM APIs (OpenAI, Azure OpenAI, Anthropic), prompt engineering, RAG pipelines, vector search (Pinecone, pgvector, Weaviate), AI agent frameworks (LangChain, LlamaIndex), cloud AI/ML services (Azure, AWS, GCP), RESTful API development, Docker, CI/CD, SQL, data wrangling, feature engineering
Preferred skills
HR technology, PEO, regulated industries, n8n orchestration, AWS/Azure/Google ML certifications
Technologies
Python, Scikit-learn, PyTorch, TensorFlow, HuggingFace, OpenAI, Azure OpenAI, Anthropic, LangChain, LlamaIndex, Pinecone, pgvector, Weaviate, Azure Machine Learning, SageMaker, Vertex AI, Docker, n8n
Responsibilities
Design, develop, test, and deploy AI/ML models and applications; Build and integrate LLM-powered features using APIs; Develop and maintain data pipelines for model training and inference; Integrate AI solutions into enterprise platforms; Write clean, tested, and documented Python code; Monitor deployed models and pipelines; Conduct research and rapid prototyping for new AI techniques
Seniority
Senior, hands-on IC
