12 hours ago
Remote, IndiaStaff+
Responsibilities
- Translate client business use cases and technical requirements into effective technical designs.
- Architect, develop, and scale end-to-end Generative AI and Agentic AI solutions.
- Map technical decisions to requirements and communicate designs to developers.
- Define guidelines, benchmarks, and non-functional requirements for project implementation.
- Write and review architecture, framework, and high-level application design documents.
- Review architectures and designs for extensibility, scalability, security, design patterns, user experience, and non-functional requirements.
- Select technologies, patterns, and frameworks to implement functional and non-functional requirements.
- Analyze technology integration scenarios and apply the resulting practices to projects.
- Resolve code and design review issues through systematic root-cause analysis.
- Conduct proofs of concept to validate proposed designs and technologies.
Requirements
- 6+ years of total professional experience.
- Deep understanding of LLMs, including GPTs, Llama, Claude, Gemini, Qwen, Mistral, and BERT-family models, and Transformer architectures.
- Expert prompt engineering skills and proven experience implementing RAG architectures.
- High proficiency in Python and AI/ML libraries including LangChain, LlamaIndex, LangGraph, LangSmith, Hugging Face Transformers, Scikit-learn, PyTorch, and TensorFlow.
- Strong experience with fine-tuning, distillation, GenAI evaluation, and evaluation metrics such as BLEU, ROUGE, perplexity, semantic similarity, and human evaluation.
- Experience using managed AI/ML services such as Azure Machine Learning Studio and AI Foundry, and deploying production AI systems on Azure or AWS.
- Strong understanding of vector databases including Weaviate and Neo4j.
- Ability to write production-ready Python and build APIs with FastAPI and at least one ORM, such as SQLAlchemy or Tortoise ORM.
- Experience scaling AI solutions for enterprise workloads and successfully delivering at least one production GenAI or Agentic AI solution.
- Familiarity with Model Context Protocol and contributions to open-source GenAI projects.
- Good-to-have experience with React or other JavaScript frameworks for user-facing interfaces and front-end integrations.
- Bachelor’s or master’s degree in computer science, information technology, or a related field.
- Excellent communication and cross-functional collaboration skills.
Benefits
- Service region: South Asia.
Tech Stack
Categories
About Nagarro
Nagarro provides digital engineering and IT consulting services to enterprises, delivering custom software development, cloud modernization, data and analytics, IoT, and digital commerce solutions. Its business model centers on project-based and managed services across the full product lifecycle, from strategy and design to build and operations. Nagarro is a public company headquartered in Munich and listed on the Frankfurt Stock Exchange, with global delivery across multiple regions.