Key skills

Machine learning engineeringProduction ML applicationsLarge language models (LLMs)Agent workflowsWorkflow automationRetrieval-augmented generation (RAG)OrchestrationEvaluation and observabilityPythonOpenAI APIClaude APILangChainLlamaIndexBackend APIsCloud infrastructureDistributed systemsComfort in fast-moving environmentsAIMachine LearningMLLLMRAG

About this role

People In AI is a unicorn startup building AI-powered workflow software for mission-critical government environments. As a Senior Machine Learning Engineer, you will build production LLM applications and automate complex customer workflows, playing a hands-on role in shipping robust AI products.

Responsibilities:

Build production-grade agent workflows and LLM-powered features
Implement tool use, function calling, retrieval, and orchestration patterns
Connect AI capabilities into existing enterprise workflows
Translate customer problems into scalable automation
Own ambiguous projects from discovery through deployment
Build evaluation, monitoring, and failure-handling systems

Requirements:

Must be a US Citizen
Strong software and machine learning engineering fundamentals
Experience building production ML or LLM applications
Experience with agents, workflow automation, or tool-using AI systems
Knowledge of RAG, orchestration, evaluation, and observability
Strong ownership and comfort in fast-moving environments
Existing clearance, or willingness and eligibility to obtain one
Willingness to travel approximately 25%
Experience with coding agents or code-generation tools
Background in government, defense, logistics, supply chain, or enterprise software
Prior startup or high-ownership experience