Software Engineer - Full Stack & Generative AI
Overview
We are seeking a Lead Software Engineer (LSE) to serve as a key technical contributor responsible for designing, developing, testing, and deploying enterprise-grade software solutions.
This role spans full-stack development and modern Generative AI solution design, requiring strong collaboration with business stakeholders and technology teams to deliver scalable, secure, and innovative solutions.
The ideal candidate combines deep engineering expertise with a self-starter mindset and the ability to execute quickly in agile environments.
Key Responsibilities
• Lead complex technical initiatives across full-stack and AI-enabled solutions
• Design and develop scalable microservices using Java, Spring, and Spring Boot
• Build modern, responsive single-page applications using React, TypeScript, and related frameworks
• Develop and integrate secure APIs (REST and GraphQL)
• Design and implement Generative AI solutions using modern frameworks and tools
• Collaborate closely with product, architecture, and DevOps teams for end-to-end delivery
• Apply observability practices including logging, monitoring, and tracing
• Mentor and guide engineers while promoting best practices and engineering excellence
• Drive architectural decisions aligned with enterprise standards
Required Qualifications
• 3+ years of experience developing single page applications using Python, Java, JavaScript, and TypeScript
• Strong experience with modern frameworks such as React.js, Next.js, Tailwind, and Bootstrap
• 5+ years of experience designing and developing enterprise-grade applications
• Hands-on experience with Java and Spring/Spring Boot for backend development
• Strong understanding of API design and integration (REST, GraphQL)
• Experience with version control systems such as Git
• Strong problem-solving skills and ability to lead technical design decisions
Generative AI Expertise
• 2+ years of hands-on experience building Generative AI applications
• Experience with ADK, OpenAI Agent frameworks, LangChain, LangGraph, or similar tools
• Understanding of LLM concepts, prompt engineering, and Retrieval-Augmented Generation (RAG)
Nice to Have
• 2+ years of experience with public cloud platforms (AWS, Azure, or GCP)
• Experience with event streaming platforms such as Kafka
• Familiarity with caching technologies such as Redis
• Experience with CI/CD and DevOps tools (Jenkins, Harness, Artifactory, SonarQube, etc.)
Agility and Mindset
• Ability to iterate quickly and adapt to evolving requirements
• Self-starter with strong ownership and accountability
• Ability to deliver high-quality solutions at speed without compromising engineering standards
