Applied AI Engineer

Why Join HYCU? HYCU is the fastest-growing leader in the multi-cloud and SaaS data protection as a service industry. By bringing true SaaS-based data backup and recovery to on-premises, cloud-native, and SaaS IT environments, the company provides unrivaled data protection, migration, disaster recovery, and ransomware protection to thousands of companies worldwide. The company's award-winning R-Cloud platform eliminates complexity, risk, and the high cost of legacy-based solutions, providing data protection simplicity to make it the #1 SaaS Data Protection platform. With an industry leading NPS score of 91, HYCU has raised $140M in VC funding to date and is based in Boston, Mass. Learn more at www.hycu.com. Overview We are seeking an Applied AI Engineer that will be responsible for building AI-powered workflows and agents that transform enterprise data into actionable insights. This role focuses on applying Generative AI techniques to real-world use cases and integrating them into production systems. We are building next-generation Generative AI products that deliver actionable data insights at enterprise scale. Our solutions combine Large Language Models (LLMs), AI agents, and enterprise data platforms to help users analyze data, generate insights, and make informed decisions. We focus on building practical, reliable, and explainable AI systems that solve real business problems. Location : Bangalore , India (Hybrid; 3 days onsite/2 days remote) What You’ll Do: Design and build AI-driven workflows for data analysis, summarization, and recommendations Develop and orchestrate AI agents that reason across multiple tools and data sources Integrate Generative AI capabilities into applications, dashboards, and APIs Validate AI outputs against business requirements and real-world scenarios Continuously iterate on AI solutions based on user feedback and performance metrics Translate business and data problems into AI-driven solutions Build reliable and scalable AI workflows for production use Collaborate with LLM, data, and knowledge engineers to improve solution quality Ensure AI solutions are explainable, testable, and maintainable Troubleshoot and improve AI behavior in production environments What We’re Looking For: Bachelor’s or Master’s degree in Computer Science , Artificial Intelligence, or a related field 6–9 years of experience in software engineering, AI, or applied machine learning roles Experience building AI-powered features or products in production Exposure to enterprise data, analytics, or decision-support systems is a plus Strong software engineering skills with experience integrating AI or ML solutions Hands-on experience with Generative AI, LLMs, and agent-based frameworks Proficiency in Python and familiarity with modern backend development practices Experience working with APIs, data platforms, and analytics systems Understanding of AI evaluation, prompt design, and error handling techniques Technical Skills Required: Core Skills (Must Have) Python (strong) RAG implementation OpenAI / Anthropic API usage Prompt design & optimization Guardrail implementation Token cost awareness LLM Tooling LangChain or LlamaIndex (hands-on) Embeddings usage Vector search integration Response evaluation techniques Preferred Skills OpenSearch vector features Evaluation frameworks (Ragas or similar) Basic PyTorch familiarity Attributes of a Successful HYCUer in this role: Self-starter and strategic thinker who thinks outside the box Takes responsibility and ownership for driving successful outcomes. You’re results-driven with a winning attitude Team player! You have excellent people and management skills to interact with staff, colleagues, cross-functional teams and third parties Hands-on and builders' mentality with an entrepreneurial mindset and intrinsic motivation Obsessed with being customer-focused – We know our customers and are advocates for their voice and point of view across HYCU Intellectual curiosity, always open for con