Principal Software Engineer

Inception42, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inception42.ai Overview We are seeking a highly accomplished Principal Software Engineer to lead end-to-end technical strategy, architecture, and execution across web-scale, platforms. This individual will be instrumental in defining system-level patterns, enforcing engineering best practices, and mentoring senior engineers within a fast-paced, agile environment. Will be leading our critical components of our AI platform and provide technical leadership across projects. Responsibilities • Architect and build scalable platform systems (frontend platforms, backend services, and shared infrastructure) • Develop reusable UI frameworks, design systems, and component libraries • Design and maintain platform APIs and shared services used across multiple products • Establish and drive platform engineering best practices (modularity, observability, reliability, and security) • Build and optimize CI/CD pipelines, internal developer platforms, and automation tooling • Improve developer experience (DevEx) by reducing friction in development, testing, and deployment • Ensure high availability, performance, and scalability across distributed systems • Mentor engineers and guide teams in adopting platform capabilities effectively Qualifications To qualify for the role, you must have • 12–15+ years of experience in software engineering with strong full stack and platform engineering expertise • Strong experience building shared platforms, frameworks, or internal tooling • Proficiency in front-end technologies (React, Angular) and modern JavaScript/TypeScript • Strong backend experience (Node.js, Python, or Go) with API and service design at scale • Deep understanding of distributed systems, microservices, and platform architectures • Experience with API design (REST/gRPC), service contracts, and versioning strategies • Strong experience with cloud platforms (AWS, Azure) and platform-native services • Hands-on experience with Docker, Kubernetes, and orchestration at scale • Experience with observability tools (monitoring, logging, tracing) is a plus AI & Agentic Systems Expertise • Experience designing and building AI agent workflows and orchestration systems • Familiarity with LLM-based applications, prompt design, and tool-augmented agents • Experience integrating AI agents with APIs, services, and enterprise workflows • Understanding of agent frameworks (e.g., LangChain, Semantic Kernel, or similar) • Experience with multi-agent systems, task planning, and workflow automation • Knowledge of evaluation, guardrails, and reliability patterns for AI systems • Exposure to RAG pipelines, vector databases, and context management is a plus What We Look For If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception42 community. What Working At Inception42 Offers Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations. Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects. Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Show more Show less

12–15+ years of experience in software engineering with strong full stack and platform engineering expertise. Strong experience building shared platforms, frameworks, or internal tooling. Proficiency in front-end technologies (React, Angular) and modern JavaScript/TypeScript. Strong backend experience (Node.js, Python, or Go) with API and service design at scale. Deep understanding of distributed systems, microservices, and platform architectures. Experience with API design (REST/gRPC), service contracts, and versioning strategies. Strong experience with cloud platforms (AWS, Azure) and platform-native services. Hands-on experience with Docker, Kubernetes, and orchestration at scale. Experience with observability tools (monitoring, logging, tracing) is a plus.

Architect and build scalable platform systems (frontend platforms, backend services, and shared infrastructure). Develop reusable UI frameworks, design systems, and component libraries. Design and maintain platform APIs and shared services used across multiple products. Establish and drive platform engineering best practices (modularity, observability, reliability, and security). Build and optimize CI/CD pipelines, internal developer platforms, and automation tooling. Improve developer experience (DevEx) by reducing friction in development, testing, and deployment. Ensure high availability, performance, and scalability across distributed systems. Mentor engineers and guide teams in adopting platform capabilities effectively.