Overview

Senior Full Stack Software Engineer — Backend, AI Agents & Automation

Responsibilities

• This is a backend-heavy full stack engineering role with a strong focus on AI integrations, agentic workflows, and automation.
• The ideal candidate should be able to design and build reliable backend systems, APIs, databases, admin tools, and AI-powered features, including agent-based systems that can reason through workflows, use tools, interact with internal data, and automate operational tasks.
• This is not a prompt-engineering-only role. We are looking for a real software engineer who can build production-grade systems and integrate AI into useful business and learning workflows.
• Design, develop, and maintain scalable backend systems, APIs, databases, and internal tools.
• Build full stack product features for web, mobile, admin, and internal operations platforms.
• Create AI-powered tools for student support, admissions, learning assistance, content workflows, reporting, and automation.
• Design and build agentic AI workflows that can complete multi-step tasks using LLMs, tools, APIs, databases, and documents.
• Build RAG workflows using embeddings, vector databases, internal documents, learning content, and student support data.
• Integrate LLM APIs such as OpenAI, Anthropic, Gemini, or similar into production applications.
• Develop backend workflows for AI tutoring, quiz generation, document processing, content generation, and student communication.
• Build secure APIs for student onboarding, LMS features, assessments, compliance tracking, clinical training, reporting, and dashboards.
• Optimize database queries, background jobs, API performance, system reliability, and cloud deployments.
• Implement authentication, authorization, logging, monitoring, error handling, and data protection best practices.
• Create human-in-the-loop review systems, guardrails, and audit trails for AI-powered workflows.
• Collaborate with frontend developers, designers, product teams, content teams, and business stakeholders.
• Review code, improve engineering standards, and mentor junior developers when needed.
• Translate business requirements into practical, scalable, and maintainable software solutions.

Qualifications

• Department: Technology / Product Engineering
• About SisuCare
• SisuCare is a fast-growing healthcare education and EdTech company building technology-driven learning solutions for nursing and healthcare students. Our platforms support online learning, student onboarding, admissions, compliance, clinical training, exam preparation, AI tutoring, automation, and workforce training.
• We are looking for a Senior Full Stack Software Engineer — Backend, AI Agents & Automation to join our Noida office. This role is ideal for a strong software engineer who can own backend systems, build scalable product features, and develop AI-powered tools that support students, instructors, admissions, and internal operations.
• Minimum 5 years of professional software engineering experience.
• Strong backend development experience using Java, Springboot, SpringAI, or similar frameworks.
• Strong experience designing and building REST APIs and/or GraphQL APIs.
• Good full stack development ability, including experience with frontend frameworks such as React, Next.js, Vue, Angular, or similar.
• Strong database experience with PostgreSQL, MySQL, MongoDB, Redis, or similar.
• Practical experience integrating AI/LLM APIs into real applications.
• Understanding of RAG, embeddings, vector databases, prompt engineering, tool calling, and AI automation workflows.
• Ability to build AI agents or agentic workflows that can complete multi-step tasks.
• Strong knowledge of authentication, authorization, API security, data privacy, and backend architecture.
• Ability to write clean, maintainable, well-documented code.
• Strong problem-solving skills and ability to work independently with ownership.
• Building AI agents or agentic workflows that can complete multi-step tasks.
• Integrating LLMs with tools, APIs, databases, documents, and internal business systems.
• Designing RAG workflows using embeddings and vector databases.
• Creating AI assistants for student support, admissions, learning, reporting, or internal operations.
• Implementing guardrails, human-in-the-loop review, logging, monitoring, and error handling for AI systems.
• Working with frameworks such as LangChain, LangGraph, CrewAI, AutoGen, OpenAI Assistants/Responses API, or similar tools.
• Familiarity with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, or pgvector.
• AI-powered student support tools.
• AI tutoring and learning assistant features.
• Agentic workflows for admissions, student follow-up, document review, and internal operations.
• Backend systems for online healthcare education.
• Student onboarding and document management workflows.
• Assessment, quiz, and exam preparation tools.
• Clinical training tracking and compliance systems.
• Internal automation tools for admissions, operations, instructors, and management.