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
Qualifications & Skills
- 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 We're 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
