Principal Engineer [T500-23384]

Talent500 is hiring for one of its clients.

We are looking for a Principal Engineer with a deep understanding of software design and architecture, capable of designing and scaling SaaS and enterprise-grade software products. This role requires strong hands-on experience across both frontend and backend, combined with a solid grasp of AI and Agentic AI systems.

The ideal candidate is a go-getter, technology thought leader, and innovation driver who proactively identifies opportunities to improve platforms, architectures, and business outcomes.

Experience:

• 10-12 years of overall software engineering experience
• Proven experience designing and delivering large-scale SaaS and enterprise

Products:

• Demonstrated leadership in architecture, design reviews, and technical decision - making

Key Responsibilities:

Architecture & Design:

• Lead the end-to-end architecture and design of scalable, secure, and high- performing SaaS and enterprise platforms
• Define and enforce architecture standards, design patterns, and best practices
• Drive system design for cloud-native, distributed, and microservices-based architectures
• Evaluate and select appropriate technologies, frameworks, and tools AI & Agentic AI
• Design and integrate AI / FL-driven features into enterprise applications
• Architect and guide development of Agentic AI systems (multi-agent workflows, orchestration, autonomous decision-making)
• Collaborate with data science and Al teams to operationalize models into production-ready systems
• Stay ahead of emerging trends in Generative AI, LLNs, and autonomous agents, identifying practical use cases

Full-Stack Technical Leadership:

• Provide hands-on guidance across frontend and backend development
• Review critical code paths and ensure high-quality engineering standards
• Mentor senior and mid-level engineers on system design, scalability, and maintainability

Innovation & Strategic Thinking:

• Proactively identify innovation opportunities aligned with business goals
• Translate business problems into scalable technical solutions
• Drive POCs and experimentation to validate new ideas and technologies

Collaboration & Stakeholder Management:

• Partner with product, UX, data, and business stakeholders to align architecture with roadmap
• Clearly communicate complex technical concepts to both technical and non - technical audiences
• Act as a trusted technical advisor to engineering leadership

Technical Skills & Expertise:

Core Engineering:

• Strong expertise in software design principles, data structures, and algorithms
• Extensive experience with distributed systems, APIs, and event-driven architectures

Backend:

• Hands-on experience with modern backend stacks (e.g., Java, Python, Node.js, Go, etc.)
• Deep knowledge of microservices, REST/GraphQL APIs, and message queues
• Strong understanding of databases (SQL & NoSQL) and caching strategies

Frontend:

• Solid experience with modern frontend frameworks (e.g., React, Angular, Vue, etc.)
• Understanding of frontend architecture, performance optimization, and scalability
• Ability to guide UI/UX technical decisions and integrations Cloud & DevOps
• Strong experience with cloud platforms (AWS, Azure, or GCP)
• Knowledge of CI/CD pipelines, containerization (Docker), orchestration

(Kubernetes):

• Experience with observability, monitoring, and reliability engineering AI & Data
• Practical experience with AI/NL integration in production systems
• Understanding of LLI's, prompt engineering, agent frameworks, and model orchestration
• Familiarity with data pipelines, model deployment, and MLOps concepts

Leadership & Behavioral Traits:

• Go-getter mindset with strong ownership and accountability
• Strategic thinker with a passion for continuous learning and innovation
• Strong mentoring and technical leadership skills
• Excellent problem-solving, communication, and collaboration abilities