AI Engineer

Accountabilities: Build and continuously improve the AI engineering harness and core AI capabilities powering the product. Develop production-grade AI features using foundation models and modern LLM technologies. Design and implement AI agents, tools, workflows, and integrations capable of taking meaningful actions. Build reliable, scalable infrastructure for AI workloads across cloud services. Experiment rapidly with emerging AI models, frameworks, developer tools, and engineering workflows. Turn prototypes and experiments into maintainable, production-ready systems. Improve AI reliability through evaluation frameworks, observability, logging, guardrails, testing, and monitoring. Integrate AI capabilities with APIs, databases, internal systems, and external tools. Own technical problems end-to-end, from architecture and implementation through deployment and iteration. Partner closely with founding leadership to identify and solve high-impact product and engineering challenges. Requirements 2–4 years of professional software engineering experience, ideally within a product-focused startup or scale-up. Strong software engineering fundamentals combined with an AI-native approach to building products. Demonstrated experience building and shipping products or features powered by AI and large language models. Strong hands-on experience with cloud infrastructure and cloud-native development. Experience working with LLM APIs, AI agents, retrieval-augmented generation (RAG), tool calling, MCP, or similar AI application patterns. Strong programming skills in one or more modern programming languages. Ability to build production systems end-to-end and take high ownership of technical outcomes. A strong portfolio of tangible work, such as shipped AI projects, GitHub repositories, products, demos, or other proof of execution. Strong problem-solving, debugging, and systems-thinking skills. Ability to work effectively as a hands-on individual contributor within a small engineering team. Comfort operating in an ambiguous, fast-paced startup environment with rapidly evolving priorities. Benefits Fully remote role based in India. High level of ownership and autonomy as a hands-on individual contributor. Opportunity to work extensively with modern AI models, agents, tooling, and cloud infrastructure. Direct exposure to high-impact product and engineering challenges. Close collaboration with founding leadership and a small, focused engineering team. Opportunity to experiment with emerging AI technologies and turn them into production systems. Fast-moving startup environment with significant scope to influence technical direction. Interview process consisting of a 15-minute founder screening call, a 2-hour technical round, and a 30-minute cultural fit round.