AI Engineer
Core
Design and deploy production-grade AI agents with structured reasoning, planning, and decision-making capabilities for enterprise workflows.
Role type
Senior IC AI Engineer (Agentic Systems & Production ML)
Builds
Intelligent agent systems, predictive ML solutions, autonomous workflows, and decision engines for manufacturing, finance, and supply chain.
Domain
Enterprise AI, Industrial AI, Machine Learning
Deliverable
production ML models
Required skills
LLM-based reasoning, classical ML techniques, tool orchestration, vector databases, Python engineering, cloud-native AI platforms, streaming data processing, enterprise system integration
Preferred skills
Reinforcement learning, multi-agent systems, MLOps, distributed task orchestration, industrial AI environments
Technologies
PyTorch, scikit-learn, XGBoost, GCP Vertex AI, Gemini, Databricks, Kafka, Pub/Sub
Responsibilities
Design modular AI agent frameworks with skill decomposition and tool orchestration; Build and deploy supervised/unsupervised ML models for prediction and anomaly detection; Develop decision-making loops balancing exploration/exploitation and latency/reasoning; Build structured memory systems (episodic, semantic, vector-based); Design tool-calling architectures with execution validation and failure recovery; Develop evaluation frameworks for agent and model performance; Integrate AI agents with enterprise systems (ERP, IoT, MES).
Seniority
Senior, hands-on IC
