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Job Description & How to Apply Below
Talent
500 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/Graph
QL APIs, and message queues
- Strong understanding of databases (SQL & No
SQL) 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 & Dev Ops
- 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'ñs, 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
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