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
• Design and implement multi-agent architectures using LangGraph
• Build stateful, tool-augmented agents capable of reasoning, planning, and execution
• Develop agent orchestration patterns (planner-executor, supervisor, hierarchical agents)
• Implement memory systems (short-term, long-term, contextual memory)
• Enable cross-agent communication and coordination
• LLM Applications & Orchestration
• Build production-grade LLM applications (RAG, agents, copilots)
• Integrate tools, APIs, and enterprise systems into agent workflows
• Design robust prompting, routing, and guardrails
• Optimize workflows for latency, cost, and quality
• Platform & API Development
• Develop reusable AI services, agent frameworks, and APIs
• Contribute to AI platform capabilities (model routing, observability, guardrails)
• Cloud Deployment & Production Systems
• Deploy agent-based systems on AWS
• Use Docker and Kubernetes for scalable deployments
• Implement monitoring and observability (LangSmith)
• Ensure systems are resilient and production-ready
• Performance Optimization & Evaluation
• Evaluate agent performance across reasoning quality and task completion
• Improve workflows using feedback loops and tracing
• Diagnose and fix failure modes in multi-step pipelines
• Collaboration & Enablement
• Work with product and engineering teams to build agentic workflows
• Guide teams on best practices for agent design
• Contribute to reusable patterns and frameworks

• Core Expertise
• Experience building LLM-based systems (RAG, agents, copilots)
• Hands-on with LangGraph / LangChain
• Experience with multi-agent systems
• Strong Python and backend development skills
• Agentic & Systems Thinking
• Understanding of agent design patterns, planning, memory, and tool use
• Experience integrating APIs and enterprise systems
• Ability to debug multi-step reasoning pipelines
• Cloud & Production Engineering
• Experience with AWS, Azure, or GCP
• Familiarity with Docker and Kubernetes
• Understanding of observability and performance optimization
• Nice to Have
• Experience with AI gateways and model routing
• Exposure to cost optimization and guardrails
• Familiarity with real-time or event-driven systems

What Were Looking For

• Engineers focused on systems and workflows, not just models
• Strong bias toward production-ready AI applications
• Passion for agentic AI and next-gen architectures