Senior Agentic AI Engineer
Core
Design, develop, test, and deploy autonomous Agentic AI systems that perceive environments, make decisions, and take actions to optimize supply chains and automate enterprise operations.
Role type
Senior Agentic AI Engineer (Technical Lead)
Builds
Enterprise-grade AI agents, multi-agent collaboration systems, and strategic system integrations with ERP/CRM/SCM/WMS.
Domain
IT Distribution, Supply Chain, Enterprise Automation
Deliverable
production ML models
Required skills
Agentic AI frameworks (LangChain, AutoGen, CrewAI, Vertex AI ADK), LLMs for reasoning and function calling, Python, Cloud platforms (GCP, AWS, Azure), API design (RESTful, gRPC), Statistical analysis (A/B testing, causal inference), Software architecture (SOLID, CI/CD)
Preferred skills
High-availability production AI deployment, Advanced statistical modeling (Bayesian, time series), Large-scale data processing (Spark, Dask), RAG systems and vector databases
Technologies
Vertex AI, SageMaker, LangChain, AutoGen, CrewAI, LlamaIndex, Semantic Kernel, GPT/Claude/Gemini/Llama models, PyTorch, TensorFlow, Hugging Face, Spark, Dask
Responsibilities
Lead end-to-end design and deployment of scalable AI agents; Architect integration of agents with critical enterprise systems; Drive development of advanced agent functionalities (reasoning chains, multi-agent collaboration); Mentor junior/mid-level engineers; Design experimentation frameworks for model validation; Conduct deep-dive analysis of model behavior and performance.
Seniority
Senior, hands-on IC with mentorship responsibilities
