Python Developer Intern

2 weeks ago

New Delhi, India Bloom AI Full time

About Bloom AI


Bloom AI is a modern intelligence firm that accelerates decision-making through AI-driven synthesized intelligence. We empower enterprises to unlock the value of data with human-like synthesis and decision intelligence at scale. Our proprietary tools and solutions are trusted by investment managers, insurance, private equity, and Fortune 1000 companies for more informed, efficient, and productive business practices.


Bloom AI is in Raleigh (U.S.) and New Delhi (India).


Join Our Team


Our team is looking for a skilled Python developer with a passion for AI and building intelligent solutions that drive real business impact.


What You’ll Do

  • Design, develop, and productionize advanced RAG (Retrieval-Augmented Generation) pipelines to provide LLMs with contextual, proprietary knowledge.
  • Build, evaluate, and orchestrate AI agents capable of executing multi-step tasks, using tools, and performing complex reasoning.
  • Integrate and optimize the OpenAI API and other LLMs for cost, latency, and performance.
  • Implement evaluation frameworks to continuously monitor and improve the accuracy, relevance, and quality of AI-generated outputs.
  • Collaborate with cross-functional teams to translate complex product requirements into functional AI solutions.


What We’re Looking For

  • Strong experience with Python.
  • Hands-on experience building applications with the OpenAI API or other LLM APIs.
  • Proven experience in designing and consuming RESTful APIs.
  • Familiarity with Docker and CI/CD pipelines for automated testing and deployment.
  • Understanding of version control systems, preferably Git.


What You’ll Gain

  • Opportunity to work on cutting-edge AI projects and contribute to AI-driven product innovations.
  • Exposure to state-of-the-art LLMs and RAG systems.
  • Collaborative environment with cross-functional teams shaping the future of AI solutions.
  • Flexibility to transition into a full-time role based on performance and mutual agreement.


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