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Adani AI Labs

Generative AI Developer

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  • Posted 13 hours ago
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Job Description

The LLM Backend Developer will play a pivotal role in designing, developing, and optimizing backend systems for large language models (LLMs) and AI-driven applications. This role supports Adani AI Labs mission to leverage cutting-edge AI technologies to drive innovation and operational efficiency across the Adani Group's diverse business verticals. The developer will contribute to building scalable, high-performance systems that enable AI solutions for energy optimization, logistics automation, and smart infrastructure projects, aligning with the Group's sustainability and growth objectives.

Educational Background

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
  • Preferred: Advanced certifications in AI/ML or backend development from reputed institutions

Required Qualifications & Experience

  • Proven experience in backend development for AI applications, with 510 years of relevant experience.
  • 13 years of working with LLMs in production.
  • Expertise in Python, FastAPI, NodeJS, and REST API development.
  • Hands-on experience with vector databases (FAISS, Pinecone, Chroma) and LangChain frameworks.
  • Familiarity with RAG pipelines and prompt engineering techniques.
  • Experience working with platforms like Google ADK, Gemini Enterprise, LangGraph, and Databricks Genie.
  • Demonstrated success in developing scalable and secure backend systems for large-scale projects.
  • Deep understanding of backend architectures for AI applications and LLMs.
  • Proficiency in integrating AI frameworks like LangChain and RAG pipelines into operational systems.
  • Proficiency in Google ADK, Gemini Enterprise, LangGraph, and Databricks Genie.
  • Expertise in Python, FastAPI, NodeJS, and REST APIs.
  • Familiarity with vector databases such as FAISS, Pinecone, and Chroma.

Prospects with Recent specialization in LLMs (fine-tuning, prompt engineering, deployment), Can connect at 9898791075 or email at [Confidential Information]

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Job ID: 136139231