Coram AI

• You'll be the operational backbone of Coram AI's field marketing in North America • Plan and project-manage Coram's presence at North American security and technology trade shows, industry conferences, and regional events • Manage all pre-event logistics from India: booth design and production, vendor coordination, collateral and demo preparation, swag, shipping, staffing plans, and scheduling • Brief and prepare on-the-ground sales and partnership team members so they can represent Coram effectively at events • Coordinate real-time support during events across time zones, troubleshooting issues and ensuring smooth execution • Own post-event follow-up workflows: lead capture, CRM entry, sales handoff, and attendee nurture sequences • Track and report on event ROI: leads generated, pipeline influenced, and deals sourced from field programs • Work with systems integrators, resellers, and technology partners to develop joint marketing programs: co-branded events, webinars, partner showcases, and lead-sharing initiatives • Equip channel partners with sales tools, demo materials, and messaging frameworks ahead of joint events and campaigns • Organize customer roundtables, prospect dinners, and executive briefings in key North American markets, managing logistics remotely and coordinating with local team members for on-site hosting • Build and maintain invite lists, manage RSVPs, and ensure high-quality attendee experiences • Capture insights and feedback from customer-facing events and share with product and sales teams

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.