AI Engineer – Agentic AI Development

Nova Web Technologies LLC; Seattle (WA); On-site; USD 140,000 - 190,000; Full time

Job summary

Nova Web Technologies LLC seeks an AI Engineer focused on Agentic AI development for an enterprise AI initiative with a leading retail client. The role is hands-on, requiring design, build, and production deployment of agentic AI systems to automate complex workflows.

The ideal candidate brings 5–8 years of software engineering, hands-on experience shipping AI agents, and deep knowledge of multi-agent orchestration and model context protocols.

Qualifications

• 5–8 years of software engineering experience with production development.
• Recent hands-on experience building and deploying Agentic AI solutions.
• Proven experience shipping production AI agents, not prototypes.
• Strong understanding of multi-agent orchestration and tool integration.
• Experience with modern LLMs and Agentic AI design patterns.
• Experience with Claude Agent SDK, LangGraph, AutoGen, or similar tools.

Responsibilities

• Design, develop, and deploy production-grade AI agents and multi-agent systems.
• Build agent orchestration, tool integrations, and MCP-based solutions.
• Develop evaluation frameworks to measure performance, accuracy, reliability.
• Implement context engineering, memory management, and retrieval strategies.
• Build scalable software following the full SDLC and production standards.
• Collaborate with client teams to deliver intelligent automation.
• Optimize AI applications for performance, latency, cost.
• Mentor team members on Agentic AI development.

Skills

Agentic AI

Multi-agent orchestration

LLMs

Production software engineering

Context engineering

Memory management

Agent evaluation

Education

Bachelor’s or Master’s in CS/AI

Tools

Claude Agent SDK

LangGraph

AutoGen

Semantic Kernel

OpenAI API

Job description

Location: Seattle, WA (Onsite Preferred)
Experience: 8 Years
Employment Type: Full-Time / Contract

Position Overview

We are seeking a highly skilled AI Engineer – Agentic AI Development to join an exciting enterprise AI initiative with a leading retail client. This is a fully hands‑on engineering role focused on designing, building, and deploying production-ready Agentic AI systems that automate complex business workflows.

The ideal candidate will have a strong background in software engineering with recent (within the last 1–2 years) hands‑on experience building and shipping AI agents into production. This is not a research or proof‑of‑concept role—the selected candidate must be able to demonstrate real‑world experience developing, deploying, and maintaining agentic AI solutions in production environments.

Key Responsibilities

• Design, develop, and deploy production‑grade AI agents and multi‑agent systems.
• Build agent orchestration, tool integrations, and Model Context Protocol (MCP)-based solutions.
• Develop evaluation frameworks to measure agent performance, accuracy, reliability, and failure modes.
• Implement context engineering, memory management, and retrieval strategies for enterprise AI applications.
• Build scalable, production‑ready software following the complete SDLC.
• Collaborate with client engineering teams to deliver intelligent automation solutions.
• Optimize AI applications for performance, latency, scalability, and cost.
• Contribute to engineering best practices and mentor team members on modern Agentic AI development.

Must-Have Skills

• 5–8 years of software engineering experience with strong production development experience.
• Recent (within the last 1–2 years) hands‑on experience building and deploying Agentic AI solutions.
• Proven experience designing and shipping production AI agents—not prototypes or experimental projects.
• Strong understanding of:
  • Multi‑agent orchestration
  • AI tool integration
  • Context engineering
  • Memory and state management
  • Agent evaluation methodologies
• Experience with modern LLMs and Agentic AI design patterns.
• Experience working with one or more of the following:
  • LangGraph
  • AutoGen
  • CrewAI
  • Semantic Kernel
  • Claude Agent SDK
  • OpenAI Assistants API
• Strong software engineering fundamentals including system design, testing, deployment, and production support.
• Excellent communication and stakeholder collaboration skills.

Preferred Qualifications

• Prior experience as a Software Engineer with enterprise‑scale application development.
• Hands‑on experience with Claude Agent SDK.
• Experience with LLM optimization, prompt engineering, and AI cost management.
• Experience designing scalable AI systems for enterprise applications.
• Retail or e‑commerce domain experience is a plus.
• Experience working in Agile development environments.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
• Strong problem‑solving and software architecture skills.
• Demonstrated ability to independently design, build, test, and deploy production‑grade AI solutions.
• Ability to work effectively with minimal supervision in a fast‑paced engineering environment.