Senior Full Stack Developer – Agentic AI

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Logo of Logic20/20, Inc.

Logic20/20, Inc.

201 - 500 employees

Founded 2005

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • B2B

Logic20/20, Inc. is a high-value business and technology consulting firm that helps organizations across utilities, energy & utilities, financial services, government, healthcare, life sciences, and technology & communications modernize and improve performance through digital strategy and transformation. The firm provides services including product, project and change management, compliance, solution assessment and planning, agile transformation, and comprehensive AI & analytics capabilities—covering data strategy, data platforms and engineering, and data visualization—to embed AI and data-driven decisioning into operations, capital planning, and compliance.

📋 Description

• Design and develop AI-driven applications, including single and multi-agent workflows • Build and maintain full-stack solutions (frontend and backend components) • Leverage AI tools and agentic coding practices to accelerate development • Develop orchestration logic for agent-based systems and workflows • Integrate LLM-based capabilities such as document processing, embeddings, and retrieval • Implement best practices for AI evaluations to ensure quality and prevent regressions • Contribute to and maintain CI/CD pipelines and deployment processes • Collaborate with architects and engineering leadership on solution design and standards • Continuously improve development practices and contribute to evolving AI engineering frameworks

🎯 Requirements

• 5–10 years of experience as a software developer using TypeScript, React.js, and Python. • Hands-on experience with AI-assisted development/agentic coding (must actively use AI in coding workflows). • Experience building LLM-based applications, including multi-agent systems or agent-based workflows (e.g., LangGraph). • Strong understanding of CI/CD practices. • Experience with AWS or Azure. • Demonstrated passion for AI, LLMs, and emerging technologies. • Preferred: Experience implementing AI evaluation frameworks is highly preferred. • Preferred: Exposure to text embeddings, RAG, or document-based AI workflows. • Preferred: Consulting experience or experience working in client-facing environments.

🏖️ Benefits

• Competitive compensation package • Potential performance-based bonuses and incentives

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