This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Engineer based in India. Join a fast-moving product startup building AI-native systems that power the next generation of its platform. You’ll take ownership of the engineering foundations behind production AI capabilities and intelligent workflows. This is a hands-on individual contributor role with significant autonomy and end-to-end technical ownership. You’ll work across up-to-date AI tooling, cloud infrastructure, foundation models, agents, and integrations. The role combines rapid experimentation with the challenge of turning prototypes into reliable, scalable systems. You’ll collaborate closely with a small, high-ownership engineering team and founding leadership. It’s an opportunity to have a direct impact on both the product and the underlying AI engineering platform. 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.

📌 AI Engineer (India)
🏢 Jobgether
📍 India