GenAI Developer

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)