Senior AI/ML Engineer
Core
Design, build, and deploy agentic AI systems and classic ML models to solve real business problems, focusing on autonomous LLM-powered workflows and production machine learning.
Role type
Senior AI/ML Engineer (Agentic AI & MLOps)
Builds
Agentic workflows, LLM-powered systems, production ML models, and scalable data pipelines
Domain
Artificial Intelligence, Machine Learning, Agentic AI, Computer Vision
Deliverable
production ML models | product features
Required skills
Python, PyTorch, TensorFlow, LLM APIs, prompt engineering, vector databases, RAG architectures, computer vision, cloud platforms, software engineering fundamentals
Preferred skills
Azure AI Foundry, Google Vertex AI, multi-agent orchestration frameworks, reinforcement learning, LoRA, RLHF, containerization, edge deployment optimization
Technologies
LangGraph, LlamaIndex, CrewAI, Pinecone, Weaviate, Chroma, Docker, Kubernetes, AWS, GCP, Azure
Responsibilities
Design and build agentic workflows using LLMs for autonomous multi-step task execution; Develop tool-use and function-calling integrations connecting agents to APIs and databases; Design and train deep learning models including computer vision for image recognition; Build and maintain scalable data pipelines for training and inference; Implement MLOps best practices including CI/CD, versioning, and automated retraining; Collaborate with product teams to translate business requirements into AI-powered features.
Seniority
Senior, hands-on IC