Senior AI Software Engineer

7 days ago

Gurgaon Gurugram Noida Bengaluru Bangalore, India beBeeAIEngineer Full time US$ 1,50,000 - US$ 2,00,000

Unlock Your Career Potential in AI Engineering

About the Role

This senior software engineer position focuses on designing and developing innovative AI-powered applications using natural language processing (NLP) and generative AI models. As a key member of our team, you will work with cross-functional teams to create cutting-edge solutions that align with business goals.

Your Key Responsibilities
  • Design and develop AI-driven solutions that optimize performance and meet customer needs.
  • Collaborate with product managers, data scientists, and designers to craft bespoke AI applications.
  • Build and refine NLP models for seamless user interaction through intuitive interfaces.
  • Integrate generative AI models into applications and oversee end-to-end software life cycles.
  • Utilize C# or Python for backend development, focusing on server-side applications and API integrations.
  • Stay updated on AI advancements to continuously enhance application performance and capabilities.
  • Lead documentation efforts and manage production support issues to ensure system reliability.
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related field.
  • At least 5-9 years of experience in C# or Python development where NLP was a key component.
  • Minimum 1 year of experience in developing AI applications using prompt engineering and in-context learning.
  • Preferably certified Cloud Developer (Microsoft, IBM Cloud, AWS, Google).
  • Familiarity with orchestrating frameworks like Semantic Kernel, AutoGen, Langchain, Llamaindex.
  • Agile mindset to create value across projects of multiple scopes and scale.
Bonus Skills
  • Participation in data and analytics initiatives in a corporate environment or growing data-driven startup.
  • Understanding of advanced analytics, including data management, machine learning approaches, and pipelines.
  • Knowledge of fine-tuning large language models.

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