AI Engineer - Machine Learning

Sr. AI Engineer Hiring two AI/ML Engineers for an early-stage, high-growth AI infrastructure company. Our team is building an enterprise-grade platform and we need highly curious, hard-working self-starters. You will own the design and delivery of complex, multi-service AI architectures involving agent orchestration, secure workflows, agent harness, guardrails and real-world operational constraints. What You Will Do Own the architecture, design, and implementation of full AI/ML systems, including: Multi-service, distributed system architecture, workflow and agent orchestration. Proven experience designing and deploying complex agentic systems using LLMs. Hands-on design with multi-agent orchestration, routing, and tool orchestration. Building products and harness around AI models, harness engineering. Product Engineering. Your work goes far beyond prompts or app-level features. You will architect platforms and sustainable AI infrastructure. You will build real, production agents—not prototypes relying solely on framework abstractions. End-to-End AI Infrastructure with Python, AWS, Typescript. MCP servers to connect to agentic services with response API, Pydantic outputs, tool calling, guardrails, LLM validation framework, etc.. Desired Qualifications 4+ years working professionally as a Machine Learning Engineer, Data Scientist or Software Engineer. 1-2+ years building and deploying Agentic, ML / LLM-powered systems in production environments. Degree in Computer Science, Computer Engineering, Data Science or similar. Experience developing, deploying and productionizing supervised and unsupervised machine learning models. Proficient with: Python, Claude, OpenAI, MCP, Agentic Workflows, tool calling, Evaluation frameworks, cache management, knowledge graphs, agentic harness, eval harness, model validation framework, LLM. 📌Has built agentic systems or multi-agent setups, LangChain, LangGraph, Strands, ADK, or any orchestration framework. Work across cloud environments (AWS, Azure, GCP) 🌍 U.S. Citizenship, Must be a US Citizen 🕒 Full-Time - This role is a remote full-time position within the United States. ✈️This role may require up to 10-20% travel, including periodic travel to our offices for team collaboration, planning activities, and in-person meetings." #aijobs #agenticai #llmengineering #aiengineer #aideveloper #hiring #machinelearning #generativeAI #computerscience #techjobs #remotejobs #defense #dod #securityclearance #doW Show more Show less