Building the Future of Artificial Intelligence: A Junior GenAI Engineer Position

5 days ago

Pune, Maharashtra, India beBeeGenai Full time ₹ 9,00,000 - ₹ 12,00,000
Junior GenAI Engineer

We're seeking a highly motivated and curious Junior GenAI Engineer to join our team. As a key member of our AI solutions group, you will be responsible for designing, building, and deploying GenAI-powered applications.

  • Key Responsibilities:
  • Work with senior GenAI engineers to design and develop innovative GenAI applications.
  • Fine-tune and prompt large language models (LLMs) for specific business use cases.
  • Collaborate with cross-functional teams to integrate LLMs with APIs, databases, and front-end applications.
  • Develop expertise in embeddings, vector databases, and knowledge graph integrations.
  • Contribute to data preprocessing, model evaluation, and testing pipelines.

Requirements:

  • Strong foundation in Python programming language, including experience with libraries like LangChain, Hugging Face, or PyTorch.
  • Familiarity with transformer architectures and attention mechanisms.
  • Exposure to cloud platforms (AWS/Azure/GCP) and containerization (Docker/Kubernetes) is preferred.
  • Understanding of data structures, SQL/NoSQL databases, and basic software engineering practices (Git, CI/CD).
  • Curiosity about how GenAI can be applied to solve problems in data engineering, analytics, and enterprise workflows.
  • Good communication skills and a collaborative mindset.

Why This Role?

  • Opportunity to learn directly from experienced data engineers, ML engineers, and AI practitioners.
  • Hands-on exposure to client projects and cutting-edge GenAI tools.
  • A supportive, growth-oriented culture where your ideas matter.
  • Fast-growing startup environment with plenty of ownership and opportunities for growth.

What You'll Gain:

  • Expertise in designing and developing GenAI applications.
  • Experience working with senior GenAI engineers and cross-functional teams.
  • Knowledge of embeddings, vector databases, and knowledge graph integrations.
  • Skills in data preprocessing, model evaluation, and testing pipelines.

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