Note: The job is a remote job and is open to candidates in USA. People In AI is a specialist talent partner connecting AI, machine learning, data, and software engineering professionals with organizations building intelligent technology. The company is seeking a Senior AI Engineer to build and productionize agentic AI workflows, develop reliable LLM application infrastructure, integrate agents with existing systems, and own AI engineering projects through production.
Responsibilities
- Build and productionize agentic AI workflows
- Develop tool-use, function-calling, and orchestration patterns
- Build multi-step workflows that can reason, take action, and interact with external systems
- Integrate AI agents deeply into existing product workflows and applications
- Develop systems that make agents more proactive and reactive to user needs
- Build reliable backend infrastructure for production LLM applications
- Develop retrieval-augmented and context-aware AI capabilities
- Support artifact generation, visualization, and automated workflow execution
- Translate complex customer processes into scalable agentic workflows
- Own ambiguous, zero-to-one engineering projects from design through production
- Improve reliability, observability, scalability, and failure handling
- Partner closely with product, engineering, and customer-facing teams to define new AI capabilities
Skills
- Remote, United States with occasional travel to meet with the team
- Must be a US Citizen
- This is a hands-on role for an engineer who has already shipped production AI systems and wants to work on genuine agentic workflows not proof-of-concept demos
- Strong software engineering fundamentals
- Experience building and shipping production AI or LLM-powered applications
- Hands-on experience with agent workflows, LLM orchestration, tool calling, function calling, or multi-step AI systems
- Strong backend engineering experience
- Experience using LLMs to solve complex real-world problems
- A solid understanding of production concerns including monitoring, reliability, scalability, and failure handling
- Ability to work effectively in ambiguous, fast-moving environments
- Strong ownership and a bias toward shipping
- Ability to turn real customer workflows into robust production systems
- Strong communication and collaboration skills
- U.S. citizenship
- Current security clearance, or willingness and eligibility to obtain one
- Nice-to-have experience includes workflow-heavy enterprise software, defense or government technology, supply chain or logistics systems, high-growth startups, and taking AI products from prototype through to production
Benefits
- Equity
- Remote work in the United States
Company Overview