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Job Title


Artificial Intelligence Engineer


Company : Hyqoo


Location : Amravati, Maharashtra


Created : 2025-07-23


Job Type : Full Time


Job Description

Title - AI Engineer Type - Contract Location - RemoteRoles and Responsibilities: - Design and implement AI solutions using LLMs for tasks such as summarization, question answering, and document understanding. - Build and optimize retrieval-augmented generation (RAG) pipelines by combining OCR and LLMs for unstructured document processing. - Integrate LLMs and OCR tools, such as Azure Document Intelligence and Tesseract, into scalable applications. - Preprocess scanned and digital documents using OCR to extract structured and semi-structured text for LLM input. - Perform prompt engineering and fine-tuning of LLMs to enhance accuracy and task-specific performance. - Evaluate and monitor LLM+OCR system outputs for quality, bias, and hallucination risks. - Collaborate with cross-functional teams to deliver AI solutions tailored to domain-specific needs. - Stay updated on the latest developments in foundation models, Agentic AI, and OCR technologies.Qualifications : - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - 4+ years of experience in AI/ML, with a focus on LLMs and prompt engineering. - Proven ability to work independently, demonstrating initiative, ownership, and accountability across all phases of solution development. - Practical understanding of SAFe Agile methodologies, with experience delivering AI/ML solutions in cross-functional Agile teams.Tools and Technologies: - Hands-on experience with LLM frameworks such as LangChain and Semantic Kernel. - Strong understanding of vector search, embedding models, and semantic retrieval (e.g., FAISS, Pinecone, Azure Cognitive Search). - Proficiency in Python, with experience integrating APIs, function calling, regular expressions, and handling LLM outputs. - Deep expertise in prompt engineering, including few-shot prompting, prompt tuning, prompt chaining, and optimization techniques for task-specific accuracy and cost control. - Solid knowledge of RAG architectures and agent design patterns (e.g., tool use, memory, planning). - Experience with OCR technologies (e.g., Tesseract, Azure Document Intelligence) for document understanding and information extraction from scanned or image-based content. - Familiarity with LLM platforms and tools like Azure OpenAI, LLMOps. - Experience deploying LLM-based applications in cloud environments, with attention to performance, reliability, and scalability.