12 hours ago
Remote, IndiaStaff+
Responsibilities
- Translate client business use cases and technical requirements into technical designs for GenAI and Agentic AI solutions.
- Architect, develop, and scale production-grade GenAI and Agentic AI systems for enterprise workloads.
- Map requirements to technical decisions and communicate designs and implementation guidance to developers.
- Define guidelines and benchmarks for non-functional requirements during project implementation.
- Write and review architecture, framework, and high-level application design documents.
- Review architecture 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 and resolve code and review issues through systematic root-cause analysis.
- Conduct proofs of concept to validate proposed designs and technologies.
Requirements
- 8+ years of total experience.
- Deep understanding of LLMs, GPTs, Llama, Claude, Gemini, Qwen, Mistral, BERT-family models, and Transformer architectures.
- Expert-level prompt engineering 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 metrics such as BLEU, ROUGE, perplexity, semantic similarity, and human evaluation.
- Experience with managed AI/ML services such as Azure Machine Learning Studio and AI Foundry, and production GenAI deployments on Azure or AWS.
- Strong understanding of vector databases such as Weaviate and Neo4j.
- Ability to write production-ready Python, build APIs with FastAPI, and integrate databases through an ORM such as SQLAlchemy or Tortoise ORM.
- Experience scaling AI solutions in live enterprise environments and delivering at least one production GenAI or Agentic AI solution.
- Familiarity with Model Context Protocol and contributions to open-source GenAI projects.
- React or another JavaScript framework experience for user-facing interfaces and front-end integrations is preferred.
- Strong communication and cross-functional collaboration skills.
- 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 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.