(1077) Senior AI Engineer

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Requirements:

• Bachelor's Degree in Computer Science, Engineering, or a related field.
• 5+ Years of experience working with Python programming language.
• 3+ Years of experience working in ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• 3+ Years of experience working with cloud platforms (AWS, GCP or Azure) on ML / AI solutions (using AWS Bedrock, Azure Machine Learning, Azure Open AI, Azure AI Foundry or Google Vertex).
• 2+ Years of experience working in feature engineering and model evaluation techniques.
• 1+ Years of experience working in LLM frameworks (such as Langchain, LlamaIndex).
• Familiarity with LLMs, Generative AI concepts, particularly, knowledge in Architecture for LLM Applications and Prompt Engineering techniques/patterns.
• Demonstrated work experience and practical implementation of RAG techniques.
• Demonstrated work experience using vector databases.
• Ability to architect and integrate AI solutions across platforms.
• Excellent communication skills for both technical and non-technical audiences.
• Experience deploying ML models in production environments.
• Solid understanding of MLOps tools (MLflow, Kubeflow, etc.).
• Knowledge in software architecture and scalable system design.
• Strong analytical skills for complex problem-solving.

Responsibilities:

• Design, develop, and implement scalable AI models and systems.
• Create prototypes and define technical roadmaps for AI initiatives.
• Collaborate with cross-functional teams (Data Scientists, Designers, Product Managers) to understand business needs and deliver impactful solutions.
• Stay updated with the latest trends in AI, especially around LLMs and Generative AI.
• Integrate AI solutions seamlessly with existing software architectures and workflows.
• Communicate technical ideas and architectures clearly to both technical and non-technical stakeholders.