Job Title : AI / ML Engineer Generative AI & LLM Specialist
Location : Hyderabad
Experience Required : 6 to 12 Years
Notice Period : Immediate to 30 Days
Interview Mode : Virtual
Employment Type : Full-time
Client : Leading MNC
Position Overview :
We are seeking a highly skilled AI / ML Engineer with deep expertise in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). The ideal candidate will have hands-on experience with frameworks such as LangChain, proficiency in Python, and a strong understanding of Deep Learning (DL), Machine Learning (ML), and Natural Language Processing (NLP). The role involves designing, developing, and deploying cutting-edge AI solutions on Azure and AWS cloud environments to solve complex enterprise problems.
Key Responsibilities Solution Development :
- Design, develop, and deploy Generative AI applications using LLMs and RAG pipelines.
- Implement AI workflows using LangChain or similar orchestration frameworks.
- Build and fine-tune models for NLP tasks such as summarization, Q&A, sentiment analysis,
and conversational AI.
Integrate AI models into enterprise applications with APIs, SDKs, and cloud services.Model Engineering & Optimization :
Fine-tune open-source and proprietary LLMs for domain-specific applications.Optimize inference latency and throughput for production-grade deployments.Implement vector databases and semantic search for RAG implementations.Monitor model performance, accuracy, and data drift, and apply continuous improvementstrategies.
Cloud & Infrastructure :
Deploy AI / ML solutions on Azure and AWS, leveraging cloud-native AI / ML services.Utilize services like Azure OpenAI, AWS Sagemaker, Bedrock for model hosting andmanagement.
Build scalable pipelines for training, evaluation, and deployment using MLOps best practices.Collaboration & Research :
Work closely with data engineers, product managers, and stakeholders to define AI solutionrequirements.
Stay updated with the latest advancements in Generative AI, transformers, and NLP research.Participate in design reviews, code reviews, and contribute to AI / ML architecture decisions.Required Skills & Qualifications :
6 - 12 years of experience in AI / ML engineering with recent focus on Generative AI projects.Strong hands-on expertise in LangChain, LLMs, and RAG architectures.Proficiency in Python and AI / ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers).Solid understanding of Deep Learning, Machine Learning, and NLP techniques.Experience with Azure AI services and AWS AI / ML stack.Hands-on experience with vector databases (Pinecone, Weaviate, FAISS, Milvus, etc.).Familiarity with API development and integration for AI-powered applications.Preferred Skills :
Experience with multi-modal AI (text, image, speech).Knowledge of prompt engineering and prompt optimization techniques.Exposure to Kubernetes and containerized deployments for AI workloads.Understanding of data privacy, security, and compliance in AI applications.Prior experience with MLOps tools (MLflow, Kubeflow, DVC).(ref : hirist.tech)