Job description Location Hyderabad India Company Radise India Type Full-Time On-site Experience 2-5 years Mid-Level open to strong junior candidates with relevant project experience About the Role RADISE India is a growing Civil Engineering firm in Asia Pacific APAC Market using innovative IoT-based sensor technology aimed at providing infrastructure owners builders and operators the vital information on structural behavior to help them reduce the uncertainties associated with material properties and structural capacity RADISE India provides a wide range of innovative engineering consulting services for infrastructure owners builders contractors vendors and operators Our technology driven products and services are for infrastructure builders owners operators government bodies general contracting firms Key Responsibilities Evaluate and deploy open-source LLMs Gemma DeepSeek LLaMA 3 Mistral etc for use in document Q A natural language to SQL translation and AI-driven insights Implement document ingestion pipelines PDF Word Excel images using tools like LangChain Haystack or LlamaIndex for chunking embedding and vector search Set up and manage vector databases e g pgvector Develop RAG pipelines to connect embeddings from Azure Blob Storage files and PostgreSQL data Build and test AI agents capable of routing user queries to either blob-based document retrieval or database querying SQL generation Engineer and Evaluate prompts by implementing industry standard prompt engineering techniques Work closely with our backend team TypeScript Express PostgreSQL to expose AI capabilities as services or APIs Benchmark cost performance and latency of different models and infrastructures Support future transition to secure compliant deployment models FedRAMP NIST 800-171 Collaborate with the product team to refine chat UX and identify high-impact use cases Required Skills and Qualifications Bachelor s or Master s in Computer Science AI ML Data Science or related field 2 years of hands-on experience working with LLMs embeddings or NLP pipelines Solid understanding of open-source AI stacks Transformers LangChain LlamaIndex etc Familiarity with vector databases and semantic search principles Experience working with Python and optionally some TypeScript Node js Comfortable working with SQL and relational databases like PostgreSQL Solid understanding of AI infrastructure Docker Linux GPU CPU optimization cloud deployment - Azure preferred Must have Strong Prompt Engineering skills Ability to read and implement research papers or GitHub repos for LLM-based applications Preferred Nice-to-Have Experience deploying or fine-tuning OpenAI LLaMA Mistral Falcon or similar open-source models Familiarity with Azure OpenAI Azure Cognitive Search or OpenAI APIs for benchmarking Experience with OCR tools and document parsing pipelines Exposure to civil engineering or construction domain data is a plus Why Join Us Work on cutting-edge AI applications for infrastructure and civil engineering - real-world impact Direct mentorship from leadership with deep engineering expertise and cross-functional collaboration Opportunity to experiment with and deploy models at scale across enterprise SaaS Growth potential to lead AI initiatives across multiple product lines SmartInfra Hub SmartCompose AI etc

📌 Ai Engineer (Telangana)
🏢 Smart Infrastructure
📍 Telangana