Company Description
We are a Digital Product Engineering company that is scaling in a big way. We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17700+ experts across 39 countries). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues.
Responsibilities
- Writing and reviewing great quality code
- Understanding client's business use cases and technical requirements and converting them into technical design
- Mapping decisions with requirements and translating them to developers
- Identifying different solutions and narrowing down the best option that meets the client's requirements
- Defining guidelines and benchmarks for NFR considerations during project implementation
- Writing and reviewing design documents explaining overall architecture, framework, and high-level design of the application for the developers
- Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, and ensuring that all relevant best practices are followed
- Developing and designing the overall solution for defined functional and non-functional requirements, and defining technologies, patterns, and frameworks to materialize it
- Understanding and relating technology integration scenarios and applying these learnings in projects
- Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken
- Carrying out POCs to make sure that suggested design/technologies meet the requirements
Requirements
- 5+ years of total experience
- Strong expertise in .NET Framework backend development and API design
- Strong experience in Cloud-Native Generative AI Development
- Proven hands-on experience with LLM-based systems and RAG implementations
- AWS architecture & AI service integration (Bedrock, SageMaker, Lambda)
- Experience with MCP server implementation and integration
- Knowledge of AWS SDKs and cloud services
- Experience with LangChain, Langfuse, or similar AI orchestration frameworks
- Strong understanding of embeddings, vector databases, and retrieval models
- Frontend exposure using React or similar JS frameworks
- Strong communication skills with the ability to explain AI/ML concepts to technical and non-technical stakeholders
Qualifications
- Bachelors or masters degree in computer science, Information Technology, or a related field