Software Engineer, AI Agent Platform

🔥 14 hours ago

🇺🇸 United States – Remote

💵 $55k - $85k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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QAD

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1979

🏭 Manufacturing

📦 Logistics

🍽️ Food & Beverage

Manufacturing • Logistics • Food & Beverage

QAD is a company specializing in enterprise resource planning and industrial transformation solutions. Their Adaptive Enterprise platform helps businesses optimize processes, align people with technology, and manage critical business challenges. QAD's offerings include software for manufacturing, inventory management, supply chain planning, quality management, and global trade compliance. Their solutions serve a range of industries, including automotive, consumer products, food and beverage, industrial manufacturing, and more. The company focuses on becoming an adaptive enterprise by integrating advanced scheduling and data-driven insights.

📋 Description

• Build and ship features across Champion platform repositories • Improve developer experience through tooling, scaffolding, documentation, and onboarding paths • Maintain and evolve the MCP tool server and agent infrastructure • Identify and address friction slowing Champion development or deployment • Support business-unit Applied AI engineers in building, deploying, and operating Champions • Review agent implementations for prompt quality, scope enforcement, auth configuration, and deployment setup • Contribute to internal engineering guides and skill documentation • Pair with business-unit engineers on K8S manifests, database registration, and LaunchDarkly prompt rollouts • Design and build Champion agents for business-unit use cases • Write and iterate on system prompts, tool bindings, and context injection • Register agents in Champion Server and configure LaunchDarkly-gated prompt rollouts • Follow trunk-based development with PR-gated merges • Write tests before implementation and keep pull requests small and focused • Use feature flags for incremental delivery and maintain API/schema backward compatibility

🎯 Requirements

• Proficient in async Python, Pydantic, type hints, and FastAPI • Experience with the Strands agent SDK or a comparable agentic framework • Comfortable with pytest, pytest-asyncio, and DeepEval • Able to write and iterate on production system prompts • Solid understanding of MCP and hands-on experience building or consuming MCP servers • Familiarity with multi-agent architectures and orchestration patterns • Able to design and run evaluation suites for agent behavior • Comfortable authoring Dockerfiles, multi-stage builds, and docker-compose / make environments • Comfortable with templated PostgreSQL INSERT/SELECT, foreign key relationships, and reading ER diagrams • Follows conventional commit format and PR-based trunk workflow • Comfortable with AI-assisted development using Claude Code and Cursor • Work authorization required; visa sponsorship is not offered • Kubernetes working knowledge is a nice-to-have • AWS working knowledge is a nice-to-have • OAuth2 / OIDC conceptual understanding is a nice-to-have • Terraform familiarity is a nice-to-have • LaunchDarkly experience is a nice-to-have • Document Intelligence / OCR experience is a nice-to-have

🏖️ Benefits

• Fully remote work • Equal Opportunity Employer • Opportunities for growth • Diversity, equity, and inclusion program