Job Summary

We are actively looking for a hands-on Architect with a strong engineering foundation, polyglot expertise, and deep experience in building AI systems at scale. This role goes beyond high-level system design; you will be expected to think like an engineer, contribute to code, and architect scalable, production-grade platforms powered by modern AI capabilities. You will play a key role in designing and delivering next-generation AI-driven solutions for global clients, including agentic workflows, intelligent automation systems, and data-intensive platforms.

Job Requirements

• Strong foundation in software engineering and system design

• Proven experience in building and scaling distributed systems

• Hands-on expertise in multiple programming languages (polyglot mindset)

• Solid experience with cloud-native architectures and microservices

• Practical experience building AI/ML systems in production at scale

• LLM integrations and orchestration

• LLM evaluation frameworks (evals)

• Multi-model strategies and guardrails

• Expertise in real-time data processing and streaming architectures

• Performance optimization

• System reliability & observability

• Security best practices

• Ability to balance architecture vision with hands-on execution

Job Responsibilities

• Work hands-on with engineering teams, contribute to code, reviews, and technical problem-solving

• Architect and design scalable, resilient, and high-performance AI systems for production environments

• Design and implement agentic workflows and AI-first architectures

• Build and manage data-intensive, distributed systems with real-time processing capabilities

• Integrate and orchestrate multiple AI/ML models (including LLMs) with appropriate guardrails

• Establish strong engineering practices, including:

• Code quality & testing standards

• Feedback loops & observability

• Fitness functions for architecture governance

• Drive cloud-native architecture decisions (AWS/GCP/Azure)

• Ensure systems meet security, scalability, and performance benchmarks

• Lead technical discussions, mentor teams, and guide pragmatic technology decisions

• Collaborate with cross-functional stakeholders to translate business problems into robust technical solutions

Benefits

• Innovative Engineering: Collaborative, fail-fast, flat hierarchy. Fosters learning, initiative, curiosity.

• Masterful Development: Emphasizes clean code, SOLID principles, TDD/BDD. Utilizes robust CI/CD and polyglot engineering.

• Continuous Growth: Structured mentorship, masterclasses, Geeknights, workshops, continuous skill enhancement, blog contributions.

• Agile & Client-Centric: Adopts Agile (Scrum, XP), promotes project ownership and deep client understanding for impactful solutions.

• Supportive Environment: Healthy work-life balance, flexible schedules, comprehensive benefits (generous leave), strong team-building.