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AI Research Engineer (Agents) at Coram AI. Remote Location: US Remote. At Coram AI, we’re reimagining video security for the modern world. Our cloud-native platform uses computer vision and AI to help businesses stay safe, make smarter decisions, and move faster; from real-time alerts to seamless clip sharing and multi-site visibility.. You’ll be joining a small, fast-moving team that values clarity, craftsmanship, and impact. Every person here has a voice, ships meaningful work, and helps shape how AI can make the world safer and more connected.. We are looking for engineers who want to build production-grade AI agents powered by the latest LLMs and Claude Code. This role is focused on turning foundation models into reliable, high-performance systems that operate in real environments.. What You’ll Do. Design and build autonomous agents using state-of-the-art LLMs. Implement tool use, retrieval pipelines, memory systems, and multi-step reasoning flows. Engineer prompts and system instructions for robustness, reliability, and speed. Optimize latency, cost, and throughput in production. Build evaluation frameworks to measure agent accuracy, tool correctness, and failure modes. Create high-quality datasets for training, fine-tuning, and benchmarking. Develop introspection tooling to debug reasoning chains, hallucinations, and tool misuse. Run structured experiments to improve agent performance through iterative testing. What We’re Looking For. Strong experimental mindset with a scientific approach to evaluation and iteration. Experience working with modern LLMs, RAG pipelines, tool calling, and agent frameworks. Deep understanding of failure modes in LLM systems and how to mitigate them. Experience building production systems in Python, Go, or TypeScript. Familiarity with distributed systems, APIs, and real-time infrastructure. Comfort shipping systems that must be reliable, observable, and measurable. Bonus Points. Experience building evaluation harnesses or LLM benchmarking systems. Background in machine learning, applied research, or systems performance optimization. Experience optimizing inference latency and cost at scale. Experience debugging complex agent behaviors in real-world environments. Skills and qualifications:. BS, MS, or PhD in Computer Science, Engineering, Machine Learning, or a related technical field from top University. 2+ years of experience building software systems (experience working with LLMs, AI agents, or ML systems highly preferred). Strong programming ability in . Python. , with experience in . Go or TypeScript. a plus. Experience working with . modern LLM APIs. (OpenAI, Anthropic, etc.) and building applications powered by foundation models. Experience building or contributing to . production systems. that must be reliable, observable, and scalable. Ability to diagnose and mitigate . LLM failure modes. such as hallucinations, tool misuse, and reasoning errors. Strong experimental mindset with a . data-driven approach to improving system performance. Excellent communication skills (written and verbal) in English. Passion for building cutting-edge AI systems at the speed of a fast-growing startup. Resilient and adaptable in challenging, fast-paced environments. Ability to work in an . onsite environment. , we move faster when we're in the same room . What we offer. :. Competitive compensation package. 100% Employer-paid medical, dental, vision, and base life insurance. Flexible paid time off and 9 paid holidays. 401(k) with both Traditional and Roth options. Equity in a rapidly growing company. Referral bonuses. Daily team dinners and regular team off-sites to build connection and momentum. The latest Apple tech and unlimited tools so you can win. Unlimited Cursor and Claude Code credits. Direct exposure to our AI-native GTM machinery. We're on a mission to transform a $50B+ legacy industry by bringing the power of cutting-edge multimodal LLMs and computer vision to real-world security and operations. From firearm detection to intelligent access control, our AI-native platform turns every camera and sensor into a smart system that enhances safety, efficiency, and awareness. . Founded by Ashesh Jain (ex-Lyft Level 5, PhD Cornell) and Peter Ondruska (ex-Lyft, PhD Oxford), Coram AI is backed by Battery Ventures, Mosaic, and 8VC, have raised over $30M, and were named to the CB Insights AI 100 as one of the most promising AI companies in the world. If you're excited to work on mission-critical AI that makes an impact in the real world, we’d love to meet you.