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Ergobite

Junior Generative AI Engineer

1-3 Years
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  • Posted 10 hours ago
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Job Description

We are looking for a passionate and hands-on Junior Generative AI Engineer with 1-2 years of experience who is eager to work on real-world Gen AI applications. This role is ideal for someone who has foundational knowledge of Large Language Models (LLMs), prompt engineering, and AI-powered applications, and wants to grow in a fast-paced product environment. You will work closely with the product and engineering teams to build, test, and deploy Gen AI-based features and automation solutions.

Responsibilities

  • Develop and integrate applications using Large Language Models (LLMs).
  • Work on prompt engineering and optimisation for better model outputs.
  • Build basic AI-powered chatbots, assistants, and content automation tools.
  • Implement Retrieval-Augmented Generation (RAG) based workflows (basic level).
  • Experiment with OpenAI or other LLM APIs for real-world use cases.
  • Develop backend services using Python.
  • Integrate Gen AI features via REST APIs.
  • Handle structured and unstructured data processing.
  • Assist in deploying AI features into production environments.
  • Test, evaluate, and improve prompt responses.
  • Monitor AI outputs for accuracy, bias, and relevance.
  • Work on performance improvements and cost optimisation of API usage.

Requirements

  • Bachelor's degree in Computer Science, IT, Engineering, or related field.
  • 1-2 years of hands-on experience in Python development.
  • Basic understanding of Generative AI concepts and LLMs.
  • Experience working with OpenAI APIs or similar LLM platforms.
  • Knowledge of prompt engineering techniques.
  • Familiarity with LangChain or similar orchestration frameworks.
  • Understanding of REST APIs and backend integration.
  • Basic knowledge of databases (MySQL/PostgreSQL or NoSQL).
  • Strong analytical and problem-solving skills.
  • Good communication skills and ability to work from the office (Pune).
  • Experience with vector databases (e. g., Pinecone, FAISS).
  • Basic understanding of embeddings and RAG architecture.
  • Exposure to cloud platforms (AWS/Azure/GCP).
  • Experience building AI-powered chatbots or automation tools.
  • Understanding of AI ethics and responsible AI practices.
  • Strong analytical and communication skills.
  • Curiosity about AI trends and continuous learning.
  • Ability to work independently in a fast-paced environment.
  • Willingness to participate in brainstorming sessions for new AI features.
  • Discipline in documenting use cases, workflows, and implementation details.

This job was posted by Shivani Bhoras from Ergobite.

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Job ID: 143843251