Qureos Mentor

2CLOUD

Key Responsibilities Design and implement agentic AI systems with planning, memory, and tool-usage capabilities Build, fine-tune, and deploy deep learning models and LLMs Develop single-agent and multi-agent workflows for real-world tasks Integrate AI agents with APIs, databases, vector stores, and external tools<ul><li>Implement RAG (Retrieval-Augmented Generation) pipelines</li><li>Optimize model performance, latency, and cost</li><li>Deploy and monitor models in production environments</li><li>Collaborate with product, backend, and DevOps teams</li></ul>Mandatory Technical Requirements Candidates MUST have the following: Programming &amp; Core Skills Strong proficiency in Python Solid understanding of Machine Learning &amp; Deep Learning fundamentals Hands-on experience with PyTorch or TensorFlow<ul><li>Strong knowledge of data structures and algorithms</li></ul>Agentic AI &amp; LLMs<ul><li>Practical experience with LLMs (OpenAI, Anthropic, LLaMA, Mistral, etc.)</li><li>Hands-on experience with agent frameworks such as:</li><li>LangChainAutoGenCrewAISemantic Kernel (or similar)</li><li>Experience building tool-calling agents, planners, and memory systems</li></ul>Generative AI &amp; RAG<ul><li>Experience with RAG architectures</li><li>Hands-on work with vector databases:</li></ul>QdrantFAISSPineconeWeaviateModel DevelopmentFine-tuning models using LoRA / PEFTExperience with prompt engineering and evaluation<ul><li>Text embedding, chunking, and retrieval optimization</li></ul><ul><li>Exposure to Reinforcement Learning (RL) or feedback-driven optimization (preferred)</li></ul>Deployment &amp; Engineering<ul><li>Experience deploying AI models using FastAPI / Flask</li><li>Containerization using Docker</li><li>Cloud experience with AWS / Azure / GCP</li><li>Basic knowledge of MLOps / LLMOps:</li><li>Model versioningMonitoringLogging and evaluation</li><li>Educational Qualification</li></ul><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in:</li></ul>Computer ScienceArtificial IntelligenceMachine LearningData ScienceOr a related fieldGood to Have (Preferred)Experience with multi-agent systemsKnowledge of computer vision or speech modelsExperience with self-hosted LLMs (Ollama, vLLM, llama.cpp)<ul><li>Familiarity with LangSmith / OpenTelemetry / Prometheus</li><li>Open-source contributions or published AI projects</li></ul>Soft Skills<ul><li>Strong problem-solving and analytical thinking</li><li>Ability to translate business problems into AI solutions</li><li>Good communication and documentation skills</li><li>Ability to work independently and in cross-functional teams</li></ul>Job Type: Full-timePay: ₹15,000.00 - ₹22,000.00 per monthBenefits:<ul><li>Food provided</li></ul>Experience:<ul><li>AI Related: 1 year (Preferred)</li></ul>Work Location: In person

AI & Data Science Engineer

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2CLOUD

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AI & Data Science Engineer