5 days ago
Responsibilities
- Own the architecture and technical vision for Python- and React-based AI-powered applications.
- Design scalable, secure, and cost-efficient backend platforms for LLM inference, RAG pipelines, and agent-based orchestration.
- Define frontend architecture and UX patterns for conversational interfaces, copilots, and intelligent dashboards.
- Lead complex Generative AI workflows integrating LLMs, tools, APIs, structured data, and user context.
- Establish engineering standards for prompt design, model integration, evaluation, and observability.
- Build reusable GenAI components, SDKs, and frameworks for use across teams and products.
- Translate client and business requirements into durable technical architectures and solution designs.
- Review architecture, design documents, codebases, and technical decisions for scalability, extensibility, security, usability, and non-functional requirements.
- Lead technical discovery, solutioning, proof-of-concepts, and client or executive-facing workshops.
- Ensure enterprise readiness through security, privacy, compliance, governance, and responsible AI practices.
- Use AI-assisted development tools such as Copilot and Claude Code while maintaining production quality.
- Resolve complex technical issues through systematic root-cause analysis and communicate decisions to developers and stakeholders.
Requirements
- 11+ years of total professional experience.
- 10+ years of software engineering experience with strong depth in Python.
- Proven experience architecting and delivering production-grade Generative AI applications at scale.
- Deep understanding of LLM integration patterns, RAG systems, and AI-driven UX design.
- Strong system design skills across backend, frontend, and AI infrastructure layers.
- Experience defining technical strategy and influencing architecture across teams or pods.
- Hands-on experience with AWS, Azure, or GCP and distributed systems.
- Strong understanding of security, privacy, and governance for enterprise AI.
- Ability to translate ambiguous business problems into durable technical architectures.
- Excellent communication skills and ability to influence senior stakeholders and technical leadership.
- Bachelor's or master's degree in computer science, Information Technology, or a related field.
Benefits
- Service region: South Asia.
Tech Stack
Categories
About Nagarro
Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 18,500+ experts across 40 countries, forming a Nation of Nagarrians, ready to help our customers succeed.