[Remote] Senior AI Engineer

Note: The job is a remote job and is open to candidates in USA. People In AI is a category-defining AI software company transforming how mission-critical organizations make complex operational and strategic decisions. They are seeking a Senior AI Engineer to design and build production-grade agentic AI systems that automate complex workflows and connect natural language interfaces with operational software workflows.

Responsibilities

• Design and build production-grade agentic AI systems that automate complex workflows
• Develop AI agents capable of tool usage, orchestration, planning, and execution
• Build systems that connect natural language interfaces with operational software workflows
• Design architectures for agent memory, context management, reasoning, and action execution
• Develop frameworks for artifact generation, reporting, visualization, and workflow automation
• Partner closely with product, engineering, and domain experts to translate customer needs into AI capabilities
• Evaluate and integrate emerging AI models, frameworks, and agent technologies
• Improve reliability, observability, performance, and scalability of AI systems in production
• Contribute to technical strategy and help establish engineering best practices across the AI organization

Skills

• U.S. Citizenship required
• Must be eligible and willing to obtain a security clearance (or already hold one)
• Comfortable working on national security and defense-related challenges
• Ability to travel approximately 25% as needed
• 5+ years of software engineering experience with exposure to AI, machine learning, or intelligent systems
• Strong proficiency in Python and modern backend engineering practices
• Experience building and deploying production systems at scale
• Hands-on experience with LLM applications, agent architectures, or AI workflow automation
• Strong understanding of distributed systems, APIs, and software architecture
• Ability to navigate ambiguity and drive projects from concept through production deployment
• Strong communication skills and ability to collaborate across technical and non-technical teams
• Ownership mentality with a bias toward execution and problem-solving
• Experience building agent-based systems using modern orchestration frameworks
• Experience with retrieval systems, tool calling, workflow engines, or multi-agent architectures
• Familiarity with evaluation, observability, and monitoring of AI systems
• Experience developing customer-facing AI products
• Background in highly regulated, enterprise, government, or mission-critical environments
• Active use of AI coding assistants and modern AI engineering workflows

Benefits

• 30% bonus
• Equity
• Remote, United States
• Quarterly bonus opportunities
• Equity participation
• Operate in a modern AI engineering culture that embraces cutting-edge tooling and AI-assisted development
• Significant ownership, autonomy, and technical influence from day one

Company Overview