Senior AI Engineer - Applied AI -K

Sr. AI Engineer - Applied AI ($300-400k)
Hiring a Senior AI Engineer 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 DoOwn 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 Qualifications5+ 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."
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