P3-C4-TSTSJDWe are hiring a Senior AIML Engineer specializing in Natural Language Processing (NLP) andGenerative AI to join our high-impact AI Solutions team focused on delivering advancedproduction-grade AI solutions in the Electrification this role you will work at the frontierof AI innovatiodesigning and developing RetrievalAugmented Generation (RAG) pipelines finetuningLLMs and building Agentic AI systems that are robust scalable and : Design develop and optimize NLPdriven AI solutions using state-of-the-art models andtechniques (NER embeddings summarization etc.).Build and productionize RAG pipelines and agentic workflows to support intelligent prompt-engineer and deploy LLMs (OpenAI Anthropic Falcon LLaMA etc.) fordomainspecific use with data scientists backend developers and cloud architects to build scalable AIfirstsystems.. Evaluate and integrate third-party models/APIs and open-source libraries for generative usecases. Continuously monitor and improve model performance latency and accuracy in productionsettings. Implement observability performance monitoring and explainability features in solutions meet enterprise-level requirements for reliability traceability Qualifications:Master or Bachelor degree in Computer Science Machine Learning AI or a related field. years of overall experience in AI/ML with at least 2 years in NLP and 12 years in GenerativeAI. Strong understanding of LLM architectures fine-tuning methods (LoRA PEFT) embeddings andvector in designing and deploying RAG pipelines and working with multi-step in Python and frameworks like LangChain Transformers (HuggingFace)LlamaIndex SmolAgents with ML observability and explainability tools (e.g. TruEra Arize WhyLabs).Knowledge of cloud-based ML services like AWS Sagemaker AWS Bedrock Azure OpenAIService Azure ML Studio and Azure AI Qualifications:Experience in integrating LLM-based agents in production of real-time NLP challenges (streaming latency optimization multi-turndialogues).Familiarity with LangGraph function calling and tools for orchestration in agent-based to infrastructure-as-code (Terraform/CDK) and DevOps for AI pipelines. Domain knowledge in Electrification Energy or Industrial AI is a strong SkillsNatural Language Processing (NLP)Generative AIRAG pipelinesLLMs