Principal Software Engineer
Principal Software Engineer at Inception42 (a G42 company) in Abu Dhabi, leading end-to-end architecture and execution of an AI platform — building scalable frontend/backend platform systems, shared APIs, CI/CD pipelines, and developer tooling, with expertise in React/Angular, Node.js/Python/Go, AWS/Azure, Kubernetes, and LLM-based agentic systems.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Principal
- Employment
- Not specified
- Experience
- 15+ years
- Category
- Software engineering
- Posted
Skills
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 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
Nice to have
- Experience with observability tools (monitoring, logging, tracing)
- Exposure to RAG pipelines, vector databases, and context management
Full description
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