P99Soft - Artificial Intelligence/Machine Learning Engineer - LLM Models
1 week ago
Description :About the RoleWe are looking for an innovative and hands-on AI Engineer to design, develop, and deploy intelligent AI agents leveraging the Model Context Protocol (MCP) framework. This role requires a strong understanding of AI system design, LLM integration, and cloud-native deployment (preferably on Azure Foundry or equivalent platforms). The ideal candidate will be passionate about building autonomous and context-aware AI systems that enhance productivity, automation, and data-driven decision-making.This is an excellent opportunity for professionals with strong AI engineering and cloud experience to work on next-generation AI agent architectures, integrating machine learning models, APIs, and contextual reasoning systems.Key Responsibilities :- Design, develop, and operationalize AI Agents using the Model Context Protocol (MCP) for structured contextual interaction.- Build modular and extensible agent frameworks capable of multi-turn reasoning, data retrieval, and contextual task execution.- Integrate LLMs (Large Language Models) with external APIs, databases, and enterprise tools for intelligent task orchestration.- Implement context management and memory persistence mechanisms within agents.- Develop, fine-tune, and optimize machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.- Implement model training pipelines for both supervised and unsupervised learning tasks.- Ensure performance optimization of deployed models, focusing on latency, scalability, and accuracy.- Utilize Python-based frameworks for data processing, feature engineering, and evaluation.- Build and deploy AI/ML solutions on Azure Foundry, Azure Machine Learning, or equivalent cloud platforms (AWS Sagemaker, GCP Vertex AI).- Manage end-to-end model lifecycle from experimentation to production deployment using CI/CD pipelines and MLOps best practices.- Implement containerized solutions using Docker and orchestrate deployments with Kubernetes (AKS, EKS, or GKE).- Ensure proper monitoring, logging, and scaling of AI workloads in production environments.- Develop data ingestion and processing pipelines to support AI model training and inference.- Work with RESTful APIs, GraphQL, and webhooks to connect AI agents to external systems and services.- Manage structured and unstructured data, ensuring quality, integrity, and governance.- Stay up-to-date with the latest advancements in MCP frameworks, AI agent orchestration, and Generative AI technologies.- Experiment with open-source frameworks (LangChain, LlamaIndex, Haystack, Semantic Kernel) to prototype intelligent agent systems.- Drive continuous improvement through R&D on AI/LLM optimization, retrieval-augmented generation (RAG), and hybrid AI systems.- 58 years of total experience in AI, Data Science, or Software Engineering, with at least 2+ years in AI agent development or LLM-based systems.- Proven experience with Model Context Protocol (MCP) and AI agent frameworks.- Strong proficiency in Python and core ML/AI libraries:- TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas, etc.- Deep understanding of cloud environments (Azure Foundry preferred; AWS/GCP is a plus).- Experience with API integration, microservices, and data pipelines (ETL/ELT).- Proficiency in version control systems (Git, GitHub, GitLab) and familiarity with DevOps/MLOps workflows.- Excellent analytical thinking, debugging, and problem-solving skills (ref:hirist.tech)
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Hyderabad, Telangana, India P99SOFT PRIVATE LIMITED Full time ₹ 8,00,000 - ₹ 24,00,000 per yearDescription : About the Role We are looking for an innovative and hands-on AI Engineer to design, develop, and deploy intelligent AI agents leveraging the Model Context Protocol (MCP) framework. This role requires a strong understanding of AI system design, LLM integration, and cloud-native deployment (preferably on Azure Foundry or equivalent...
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