Key Responsibilities:
· 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:
· 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:
· 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.
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