Senior AI/ML Engineer (Agentic AI)

About EdgeEdge is on a mission to remove geographic borders as barriers to full-time employment and fair wages. We’re building a global HR platform ecosystem that seamlessly connects exceptional talent worldwide with North American businesses. By making global hiring easier than local hiring, we give companies a broader talent pool and accelerate their hiring process. Spread across four continents, we’re a global team redefining how people work together.Role OverviewWe are seeking a Senior AI/ML Engineer (Agentic AI) to architect and implement autonomous, goal-driven AI agents. This role is ideal for someone experienced in multi-agent systems, orchestration frameworks, and deploying complex LLM-based agents that can reason, plan, and act in dynamic environments.Key ResponsibilitiesAgentic System Design – Design and deploy multi-agent or hierarchical reasoning systems capable of planning, self-correction, and collaboration.LLM Orchestration – Build long-running pipelines using frameworks such as LangGraph, AutoGen, or similar to manage memory, tool-use, and context.Tool & Data Integration – Connect agents to APIs, knowledge graphs, and vector databases (e.g., Pinecone, Weaviate, Milvus) to enable autonomous decision-making.Data & Infrastructure – Develop and maintain data pipelines and embedding stores; implement ETL/ELT workflows.Optimization & Scaling – Fine-tune and optimize LLMs for performance, cost, and safety; implement monitoring and feedback loops.Cross-Functional Collaboration – Partner with product, engineering, and compliance teams to align agent behavior with business goals and regulatory requirements.Must-Have QualificationsDemonstrated experience designing and deploying agentic or multi-agent AI systems.Deep understanding of transformer architectures and advanced prompt-engineering strategies.Strong Python skills and expertise with orchestration frameworks (LangGraph, AutoGen, CrewAI, etc.).Proficiency in building robust data pipelines and working with vector databases.Cloud deployment and MLOps experience (AWS, GCP, or Azure).Preferred QualificationsExperience fine-tuning LLMs with LoRA/QLoRA/PEFT.Knowledge of reinforcement learning, planning algorithms, or neuro-symbolic methods.Contributions to open-source agentic AI frameworks or published research in autonomous AI.Why Join Edge?Edge is at a pivotal growth stage, giving you the rare opportunity to shape the future of global employment. Your work will directly impact how businesses hire and how talent everywhere connects to opportunity.Join us to build the next generation of autonomous AI that changes how the world works across borders.