Staff Software Engineer - GenAI

• Research and implement Generative AI use cases using LLMs
  (text, voice, image, or multimodal).
  
• Build prototypes using frameworks such as LangChain, LlamaIndex
  
• Design and optimize prompts for accuracy, safety, and
  performance.
  
• Implement RAG (Retrieval‑Augmented Generation) pipelines
  using vector databases.
  
• Integrate AI models via APIs or open‑source models (OpenAI, Azure
  OpenAI, Hugging Face, local LLMs).
  
• Work on AI agents, tools, and orchestrations (function
  calling, workflows).
  
• Evaluate model outputs using metrics like relevance, hallucination
  rate, latency, and cost.
  
• Assist in deploying GenAI applications using Docker and cloud
  platforms preferably Azure.
  
• Collaborate with product, data, and engineering teams
  
• Document experiments, findings, and best practices.
  
• Mentor engineers and drive best practices
  

Requirements

Required
Skills

• 3+ years of professional experience and 2+ years of experience in
  GenAI.
  
• Strong experience in Python or Java
  
• Hands -on with LLMs, prompt engineering, and RAG
  
• Experience with LangChain, LlamaIndex, or similar
  
• Knowledge of vector databases (FAISS, Pinecone, etc.)
  
• Experience with cloud platforms (Azure preferred)
  
• Understanding of microservices and distributed systems
  
• Basic experience with Git and REST APIs.
  

Benefits

Benefits

• Hands‑on exposure to modern GenAI stacks
  
• Certificate / Letter of Recommendation
  
• Access to real‑world datasets and use cases