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Job ID: DATAENG-001 Job Role: AI / Data Analytics Engineer (Mid-Level) Experience : 3–6 years Domain : AI, Large-Scale Systems, e-Governance Job Location : Work from office (Vijayawada) Telugu language mandatory. Please note that only resumes sent to hr@ with below requested details are considered. Job ID : Notice Period: Current Salary per month: Expected Salary per month: Reason for a change: Role Summary : We are a fast-growing startup building an AI-powered analytics platform that works on large volumes of unstructured data such as documents, images, text, and audio. We are looking for a mid-level AI/Data Analytics Engineer to help design and build intelligent analytics and Retrieval-Augmented Generation (RAG) systems that can answer complex questions, surface trends, and generate actionable insights from raw data. This role is hands-on and ideal for engineers who enjoy working across data engineering, NLP, and applied AI in a startup environment. Key Responsibilities Build and maintain pipelines to ingest and process unstructured data (PDFs, text files, scanned images, audio transcripts) Implement and improve RAG-based question-answering systems using LLMs and vector databases Design effective chunking, embedding, retrieval, and ranking strategies for high-quality answers Apply NLP techniques to extract insights, classify issues, and detect patterns and trends Support analytics use cases such as frequency analysis, trend detection, and performance metrics Work closely with product and frontend teams to enable natural language analytics and search Optimize systems for accuracy, scalability, and low latency Participate in model evaluation, experimentation, and continuous improvementRequired Skills & Qualifications: 3–6 years of experience in Python-based data engineering or AI development Practical experience with LLMs and RAG architectures Hands-on experience with vector databases (FAISS, Pinecone, Milvus, etc.) Strong understanding of NLP and unstructured data processing Experience with OCR and/or speech-to-text pipelines Familiarity with building analytics-ready datasets and APIs Comfortable working in a fast-paced startup environment Nice to Have Experience working with multilingual data Exposure to dashboards or data visualization tools Cloud experience (AWS, GCP, or Azure) Prior experience working with complaint, feedback, or customer interaction data Why Join Us Work on real-world AI analytics problems at scale High ownership and visibility of your work Opportunity to grow into senior or architect roles Fast learning, minimal bureaucracy, strong engineering culture Note: Only shortlisted will receive email to process further. No agencies are allowed. Only individual profiles are considered. Interview call will be scheduled for only shortlisted profiles. #hiringnow #hiringimmediately #senioraidataanalyticsengineer #hiringsenioraiengineer #hiringdataanalyticsengineer #immediatejoiner #mindcrestechnologies