Description

Key Responsibilities:

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  • Contribute to prompt engineering and development of AI-powered workflows
  • Assist with the deployment, monitoring, and maintenance of AI models in production environments.
  • Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities.
  • Perform data preprocessing, feature engineering, and API development for AI applications.
  • Participate in code reviews, testing, and documentation to ensure quality and reliability.
  • Stay updated with advancements in GenAI and share relevant learnings with the team.

Required Technical Skills:

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  • Familiarity with LLMs, prompt engineering, and workflow orchestration.
  • Exposure to RAG systems and basic knowledge of hybrid search techniques.
  • Exposure to Multi-Agent systems.
  • Understanding of model deployment and containerization (Docker).
  • Proficiency in Python for AI development, data preprocessing, and scripting.
  • Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus.
  • Understanding of version control systems (Git).
  • Awareness of AI compliance, data privacy, and responsible AI principles.
  • Hands-on experience with at least one major machine learning framework (PyTorch, TensorFlow, Keras). (Advantageous)

Required Soft Skills:

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  • Strong teamwork and communication abilities.
  • Willingness to learn new AI/ML technologies and frameworks.
  • Analytical mindset and attention to detail.
  • Openness to feedback and continuous improvement

Key Skills

Education

Bachelor's degree