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• Ship your first production contribution inside 90 days: a working piece of a client agent or RAG pipeline, with senior review.
  
• Build and test LLM integrations: prompts, retrieval, tool calling, and the evaluation harnesses that prove they work.
  
• Contribute to our internal delivery accelerators, designed to compress month-long consulting delivery into sprints.
  
• Write the tests, logging, and documentation that make AI systems operable, not just demoable.
  
• Shadow client sessions from early on; by the one-year mark you own tasks across an accelerator or client component and ship with lighter review.
  

Requirements

• You write clean Python and are comfortable with Git and code review.
  
• You can explain how embeddings, retrieval, agent orchestration, and LLM APIs fit together, at working depth.
  
• You have built something real with an LLM (project, internship, or open source) and can walk us through your decisions.
  
• Solid fundamentals: data structures, debugging, reading unfamiliar code.
  
• Clear written and spoken communication; we serve international clients.
  

Benefits

• Health insurance (self coverage)
  
• 15 days annual leave minimum, increasing with level
  
• Company laptop
  
• Assistance finding accommodation if you relocate to Raipur
  
• International travel when client work requires it
  

1. Screening call: background and fit.
   
2. Live coding session: Python and problem solving.
   
3. Case study round: how you approach a client-style AI problem.