GenAI Developer
Job Description
Job Description
Key Responsibilities:
Develop, integrate, and support GenAI-powered solutions using Python and .NET frameworks.
Collaborate with engineering teams to address real-world challenges using LLMs (as consumers, not model creators).
Apply deep problem-solving skills to engineer solutions — not just propose architectures.
Scale AI models for enterprise-level performance, considering optimization, tokenization, and cost efficiency.
Justify and implement tokenizer strategies and other AI engineering techniques for better model utility.
Work cross-functionally with product owners, data scientists, and cloud engineers to deliver impactful GenAI solutions.
Remain current with industry best practices and GenAI trends, adapting solutions accordingly.
5+ years of software engineering experience with a strong focus on Python development .
Solid working knowledge of .NET framework (C# or ASP.NET) .
Demonstrated experience in delivering solution-oriented AI implementations (not just model development).
Hands-on experience with LLMs (e.g., OpenAI, Azure OpenAI, HuggingFace) in real-world applications.
Strong understanding of tokenization , inference strategies, and model scaling principles.
Ability to explain and justify engineering decisions to both technical and non-technical stakeholders.
Comfortable working in agile, cross-functional environments with high accountability.
Familiarity with cloud-based AI/ML environments (Azure preferred).
Exposure to MLOps practices and deployment pipelines.
Experience with prompt engineering , embedding models , or retrieval-augmented generation (RAG)
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