AI engineer

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