Artificial Intelligence Engineer

We’re an AI Company building infrastructure for next-generation AI agents.We’re looking for several AI Engineers to join us as we build systems that help AI tools become more useful, reliable, and context-aware across real workflows. This is a hands-on engineering role for people who enjoy working close to the frontier of LLM applications, agent systems, retrieval, evaluation, and product infrastructure.What You’ll Work OnBuild AI-native product features and backend systems for agentic workflowsDesign and implement retrieval, context, and memory-related infrastructureWork with LLM APIs, tool use, structured outputs, and multi-step reasoning flowsBuild evaluation pipelines to measure quality, reliability, latency, and costImprove system performance, observability, and production reliabilityCollaborate closely with product and engineering to turn ambiguous AI problems into shipped featuresExperiment with new AI frameworks, models, and infrastructure patterns, then bring the useful ones into productionWhat We’re Looking ForStrong engineering fundamentals and experience shipping production softwareProficiency in Python, TypeScript, or bothHands-on experience building with LLMs, agents, RAG, retrieval systems, or AI developer toolsComfort working across backend systems, APIs, databases, queues, and cloud infrastructureAbility to reason clearly about tradeoffs between model quality, latency, cost, and reliabilityStrong product sense and the ability to build practical systems, not just demosHigh ownership, fast learning speed, and comfort working in an early-stage startup environmentNice to HaveExperience with AI agents, MCP, developer tools, workflow automation, or AI infrastructureExperience with vector search, embeddings, ranking, evaluation, or observability for LLM systemsExperience with OpenAI, Anthropic, Gemini, open-source models, or local model deploymentExperience with Next.js, Node.js, FastAPI, PostgreSQL, SQLite, Docker, or cloud platformsBackground in applied ML, information retrieval, distributed systems, or human-computer interactionWhy Join UsWork on a technically ambitious AI infrastructure product from an early stageOwn meaningful parts of the system and product directionCollaborate directly with founders and move quickly from idea to productionSolve real engineering problems at the intersection of agents, context, retrieval, and user experienceCompetitive compensation and meaningful upsideRole DetailsRole: AI Engineer / Senior AI EngineerLocation: Remote / Hybrid / On-siteType: Full-timeStart: As soon as possibleIf you’re excited about building practical AI systems that make agents more useful in real workflows, we’d love to hear from you.