G66 - Full Stack Engineer

Responsibilities

Software Engineering & Platform Development

• Design, develop, and maintain scalable, secure, and high-performance full-stack applications.
• Build and enhance backend services, APIs, and frontend applications using modern development frameworks.
• Develop and integrate AI-powered capabilities into enterprise-grade applications.
• Contribute to architecture and technical design discussions for search and AI-driven platforms.
• Implement robust software engineering practices to ensure maintainability, reliability, and performance.

Search & Generative AI Solutions

• Collaborate with technical teams to evaluate and implement emerging AI technologies.
• Support the transition of AI solutions from proof-of-concept to production-ready systems.
• Contribute to AI governance initiatives, including evaluation, observability, monitoring, and security controls.

Develop solutions leveraging:

• Large Language Models (LLMs) such as Azure OpenAI and OpenAI APIs
• Retrieval-Augmented Generation (RAG)
• Semantic search and vector databases
• Modern search architectures and relevance optimisation

DevOps, Quality & Engineering Excellence

• Build and maintain CI/CD pipelines to support efficient software delivery.
• Implement automated testing strategies, including unit, integration, and performance testing.
• Support DevOps practices, release automation, and infrastructure improvements.
• Troubleshoot technical issues and contribute to continuous improvement initiatives.

Participate in code reviews and promote engineering best practices such as:

• Test-Driven Development (TDD)
• Pair Programming
• Refactoring
• Continuous Integration and Continuous Delivery (CI/CD)

Collaboration & Stakeholder Engagement

• Work closely with Product Owners, Business Analysts, UX Designers, and Delivery Managers to deliver business outcomes.
• Participate in technical discussions, solution estimation, and feasibility assessments.
• Collaborate with cross-functional teams to deliver high-quality solutions that meet user and business needs.
• Contribute to knowledge sharing and support the growth of engineering capabilities across the team.

Requirements

• 5+ years of experience in software engineering and web application development.
• Experience building and deploying scalable distributed applications.
• Familiarity with modern software architecture patterns and API design principles.
• Strong hands on experience with Node.js, TypeScript, Cloud platforms (Azure, AWS, or GCP), SQL and NoSQL databases, CI/CD pipelines, DevOps practices

Search & AI Experience

Experience working with one or more of the following:

• Search engines and search architectures
• Semantic search or vector search technologies
• Retrieval-Augmented Generation (RAG)
• LLM-powered applications

Understanding of AI application challenges, including:

• Latency and performance optimisation
• Cost management
• Hallucination mitigation
• Prompt engineering
• Model evaluation and monitoring

Originally posted on Himalayas