Applied AI Engineer

About this job

Why Join HYCU?

HYCU, Inc. is the #1 AI Resilience Company that protects, uncovers, and recovers the data that runs your business. With one platform for backup and recovery for more than 100 workloads across SaaS applications, AI systems, cloud environments, and on‑premises infrastructure. HYCU reduces cost for customers by eliminating complex, out‑of‑phase data protection operations. With HYCU R‑Cloud, customers protect any workload, recover data to a location of their choice, and connect and correlate that data to streamline compliance and governance processes. When disruption occurs, customers safely and securely resume operations quickly and efficiently. Based in Boston, HYCU is trusted by thousands of enterprises and government agencies worldwide.

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

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

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