Full Stack AI Engineer

Software EngineerLocation: New York CityEmployment Type: Full-timeExperience: 2+ yearsFocus: AI-Native Engineering, GTM Automation, Revenue Technology, Full-Stack Product EngineeringAbout Our ClientOur client is building an AI-powered platform that helps go-to-market teams turn customer interactions into structured data, insights, and intelligent action.Their AI agents help sales and revenue organizations execute faster, learn continuously, and make every deal cycle more efficient and predictable. The company is building at the intersection of AI, automation, conversational intelligence, and the modern revenue stack.This is an opportunity to join a fast-growing, venture-backed startup with strong product-market fit, a sharp technical team, and a mission to redefine how revenue teams work.About the RoleOur client is hiring a Software Engineer to help design, build, and scale core product features across the platform.This is a high-ownership engineering role for someone who can take ambiguous product requirements, break them down, design a clean solution, ship production-quality code, and own the feature through launch, monitoring, and iteration.The team works AI-first. Engineers are expected to use LLMs, coding agents, and AI-assisted workflows to move quickly without sacrificing quality, reliability, or long-term maintainability.What You’ll DoOwn product features end-to-end, from problem definition through design, development, testing, launch, monitoring, and supportBreak down product requirements into clear technical plans and shipped outcomesBuild simple, elegant systems and write high-quality code that other engineers can easily understand and extendCollaborate closely with product, design, and engineering to turn ideas into production featuresInfluence product direction with your own ideas and identify ways to improve user workflows and business processesBalance immediate business needs with long-term architecture and platform qualityBuild across backend, frontend, infrastructure, and AI systems depending on the problemUse AI tools, LLMs, and agents as part of the software development lifecycleBuild testing, monitoring, and reliability into the way features are shippedHelp scale a platform used by modern go-to-market teams to improve sales execution and customer intelligenceWhat We’re Looking For2+ years of professional software engineering experienceFluency with AI-forward software development workflows using LLMs, agents, or AI coding toolsExperience building production-grade software without sacrificing quality for speedStrong fundamentals in software design and knowing when to apply patterns like SOLID or similar principlesAbility to take ambiguous problems and turn them into well-reasoned designs and shipped solutionsComfort owning features end-to-end across frontend and backend systemsStrong autonomy, ownership, and bias toward actionExperience building, launching, and maintaining products in fast-paced environmentsStrong collaboration skills across product, design, engineering, and customer-facing stakeholdersGrit, adaptability, and comfort navigating ambiguity in an early-stage environmentTechnical ExperienceOur client is especially interested in engineers with experience in one or more of the following areas:Go or another strongly typed backend languageDistributed systems, infrastructure, or scalingLLM harnesses or agentic systemsConcurrent or asynchronous processingTesting, monitoring, observability, and reliabilityFull-stack product engineeringTechnical EnvironmentRelevant technologies include: Go, PostgreSQL, Kubernetes, AWS, Kafka, Redit, Temporal Workflows, React, Tailwind, Next.js, GraphQL, LLMs and AI Agents.Experience with every tool is not required. Strong engineering fundamentals, product ownership, and AI-native development ability matter more than exact stack match.Why This OpportunityJoin a fast-growing AI startup with strong product-market fitBuild at the intersection of AI, automation, conversational intelligence, and revenue technologyWork on products that help sales and go-to-market teams operate faster and smarterOwn meaningful features from concept through productionUse AI-native engineering workflows as a core part of daily developmentWork with a sharp, collaborative team of repeat founders and experienced engineersHelp shape the future of how revenue teams turn conversations into actionBenefitsCompetitive salary and equityChoice of new equipment and softwareHealth, dental, and vision insuranceHigh autonomy and ownership at work