AI Engineer

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.
  
• Strong 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.).