Interesting Job Opportunity: LTM - Generative AI/Agentic AI Engineer

Job description

Job Description Key Responsibilities : • Design, develop, and deploy Generative AI and Agentic AI solutions for enterprise use cases. • Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and knowledge retrieval systems. • Develop intelligent AI agents and multi-agent systems using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, NeMo Agent Toolkit (NAT), and related technologies. • Implement and fine-tune Large Language Models (LLMs) and multimodal AI models for various business applications. • Create effective prompts, prompt chains, and prompt optimization strategies to improve model performance and reliability. • Develop end-to-end AI/ML solutions involving NLP, deep learning, predictive analytics, and automation workflows. • Build scalable APIs and AI services for model inference and integration with enterprise applications. • Perform model evaluation, testing, monitoring, and optimization to ensure high accuracy and efficiency. • Collaborate with cross-functional teams including Data Scientists, Product Managers, Architects, and DevOps teams to deliver AI-driven solutions. • Deploy AI workloads on cloud environments and implement MLOps best practices. • Stay updated with emerging trends in Generative AI, Agentic AI, LLMs, and AI infrastructure technologies. Required Technical Skills Generative AI & Agentic AI : • Strong experience in Generative AI application development. • Hands-on experience with : • Retrieval-Augmented Generation (RAG) • Prompt Engineering • AI Agents and Multi-Agent Systems • Knowledge Retrieval Systems • Conversational AI Applications AI/ML & Deep Learning • Strong understanding of : • Machine Learning • Deep Learning • Natural Language Processing (NLP) • Large Language Models (LLMs) • Multimodal AI Models • Experience with : • Transformers • CNN (Convolutional Neural Networks) • RNN (Recurrent Neural Networks) • Fine-tuning and Model Optimization Techniques LLMs & Foundation Models • Hands-on experience with one or more of the following : • GPT Models • LLaMA • Mistral • Qwen • Nemotron • Other Open-Source Foundation Models GenAI Frameworks • Experience with : • LangChain • LlamaIndex • LangGraph • CrewAI • NeMo Agent Toolkit (NAT) • NVIDIA NeMo Framework Programming & Data Science • Strong proficiency in Python programming. • Experience with : • Pandas • NumPy • TensorFlow • Keras • PyTorch • Knowledge of software design principles and coding best practices. Cloud & DevOps • Hands-on experience with one or more cloud platforms : • Microsoft Azure • Amazon Web Services (AWS) • Google Cloud Platform (GCP) • Experience with: • Docker • Kubernetes • Git/GitHub/GitLab • CI/CD Pipelines • MLOps Concepts Operating Systems • Experience working in Linux and Windows environments. Desired Qualifications • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. • Relevant certifications in AI/ML, Cloud Technologies, or Generative AI are preferred. • Experience working on enterprise-scale AI applications is highly desirable (ref:hirist.tech)