AI engineer (remote)

Job Title: AI Engineer Role Overview We are seeking an AI Engineer to design and deploy agentic AI systems powered by LLMs, with a strong focus on multi-agent orchestration, reasoning workflows, and production-grade AI platforms. This role emphasizes building autonomous, tool-using AI systems rather than traditional model development. Key Responsibilities: · Agentic AI & Multi-Agent Systems o Design and implement multi-agent architectures using LangGraph o Build stateful, tool-augmented agents capable of reasoning, planning, and execution o Develop agent orchestration patterns (planner-executor, supervisor, hierarchical agents) o Implement memory systems (short-term, long-term, contextual memory) o Enable cross-agent communication and coordination · LLM Applications & Orchestration o Build production-grade LLM applications (RAG, agents, copilots) o Integrate tools, APIs, and enterprise systems into agent workflows o Design robust prompting, routing, and guardrails o Optimize workflows for latency, cost, and quality · Platform & API Development o Develop reusable AI services, agent frameworks, and APIs o Contribute to AI platform capabilities (model routing, observability, guardrails) · Cloud Deployment & Production Systems o Deploy agent-based systems on AWS o Use Docker and Kubernetes for scalable deployments o Implement monitoring and observability (LangSmith) o Ensure systems are resilient and production-ready · Performance Optimization & Evaluation o Evaluate agent performance across reasoning quality and task completion o Improve workflows using feedback loops and tracing o Diagnose and fix failure modes in multi-step pipelines · Collaboration & Enablement o Work with product and engineering teams to build agentic workflows o Guide teams on best practices for agent design o Contribute to reusable patterns and frameworks Qualifications & Skills · Core Expertise o Experience building LLM-based systems (RAG, agents, copilots) o Hands-on with LangGraph / LangChain o Experience with multi-agent systems o Strong Python and backend development skills · Agentic & Systems Thinking o Understanding of agent design patterns, planning, memory, and tool use o Experience integrating APIs and enterprise systems o Ability to debug multi-step reasoning pipelines · Cloud & Production Engineering o Experience with AWS, Azure, or GCP o Familiarity with Docker and Kubernetes o Understanding of observability and performance optimization · Nice to Have o Experience with AI gateways and model routing o Exposure to cost optimization and guardrails o Familiarity with real-time or event-driven systems What We're Looking For o Engineers focused on systems and workflows, not just models o Strong bias toward production-ready AI applications o Passion for agentic AI and next-gen architectures