Staff Engineer(Generative AI)

Description • Join Nagarro as a Staff Engineer (Generative AI) and become the technical anchor for our most ambitious AI initiatives. You will architect, build, and scale high-quality agentic AI applications that solve real-world problems for Fortune-500 clients across finance, retail, healthcare, and logistics. Your code will directly influence how millions of users interact with intelligent systems every day. • Own the end-to-end lifecycle of generative AI products—from ideation and prompt engineering to production deployment and continuous optimization. You will translate fuzzy business requirements into crisp technical specifications, then lead small, cross-functional squads to deliver robust, secure, and scalable solutions in weeks, not months. • Design and implement advanced agentic workflows that can reason, plan, and act autonomously across heterogeneous data sources. You will leverage state-of-the-art LLMs, vector databases, retrieval-augmented generation (RAG), and fine-tuning techniques to create agents that outperform off-the-shelf models on domain-specific tasks. • Optimize agentic engineering practices across the company. You will define coding standards, reusable libraries, and MLOps pipelines that reduce time-to-market by 40% while increasing reliability. Expect to review pull requests, mentor senior engineers, and evangelize best practices through internal tech talks and external blog posts. • Fine-tune large language models for specialized use cases such as contract analysis, medical triage, or dynamic pricing. You will experiment with LoRA, QLoRA, RLHF, and custom loss functions to squeeze every last drop of performance out of limited GPU budgets. Your experiments will be tracked in MLflow and reproducible across environments. • Lead system integration efforts that stitch together microservices, legacy APIs, streaming data pipelines, and third-party SaaS platforms. You will design resilient REST and GraphQL interfaces, implement OAuth2 security patterns, and ensure sub-second latency even when upstream services are flaky. • Champion data integration strategies that turn messy, siloed data into high-quality training sets. You will build ETL jobs in Python and Spark, curate embedding stores in Pinecone or Weaviate, and establish data governance policies that satisfy GDPR, HIPAA, and SOC-2 requirements. • Collaborate with product designers to create intuitive human-in-the-loop experiences. You will translate Figma prototypes into living front-end components, iterate on feedback from user research, and ensure that AI outputs are explainable, trustworthy, and aligned with ethical guidelines. • Drive continuous performance monitoring and cost optimization. You will set up dashboards in Grafana, write custom Prometheus exporters, and implement auto-scaling policies that cut cloud spend by 30% without sacrificing throughput. When incidents occur, you lead blameless post-mortems and turn lessons learned into automated safeguards. • Contribute to Nagarro’s open-source footprint and thought-leadership. You will publish papers, speak at PyCon or NeurIPS, and maintain GitHub repos that attract thousands of stars. Your reputation will help us recruit the next wave of world-class AI talent. • Stay ahead of the curve. You will run weekly paper-reading clubs, prototype bleeding-edge models within 24 hours of release, and advise executive leadership on which emerging techniques deserve investment. Your insights will shape the company’s three-year AI roadmap. Requirements • 7+ years of production-grade Python development, including async frameworks (FastAPI, Celery) and packaging (Poetry, Docker) • Deep, hands-on expertise with generative AI fundamentals: transformers, attention mechanisms, tokenization strategies, and evaluation metrics (BLEU, ROUGE, human eval) • Proven ability to design, build, and maintain scalable RESTful APIs with OpenAPI/Swagger documentation, rate limiting, and versioning • Experience fine-tuning open-source LLMs (Llama-2, Falcon, Mistral) using Hugging Face, PEFT, and distributed training on GPU clusters • Nice-to-have: track record of shipping AI products from 0-1 in fast-moving product teams, plus familiarity with UX research and design systems ️ Benefits • Fully remote-first culture with flexible hours and a yearly stipend for home-office upgrades or co-working passes anywhere in the world • Annual learning budget of USD 5,000 plus 10% paid time off for conferences, certifications, or personal research projects • Comprehensive health, dental, and vision coverage for you and your dependents, plus mental-wellness and tele-medicine programs • Stock-option plan that vests quarterly, ensuring you share directly in Nagarro’s continued growth and success Apply tot his job