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We are looking for a motivated and detail-oriented GenAI Solutions Developer with expertise in Python to design, develop, and deploy cutting-edge Generative AI solutions. The role will involve hands-on development, optimization of AI solutions, and adopting modern engineering practices.
Job Responsibility:
Hands-on development including design, build and maintenance of GenAI solutions primarily developed in Python
Develop efficient solution leveraging LLMs and including performance optimization of existing use cases
Design and Optimize prompting techniques for improved solution performance
Apply RAG methodologies to enhance data retrieval and generation processes
Drive the adoption of modern engineering ways of working, including Agile, DevOps, and CI/CD
Conduct thorough code reviews, ensuring adherence to best practices in readability, performance, and security.
Requirements:
Bachelor’s degree/University degree or equivalent experience
At least 8 years of experience as Python or Backend Developer
Strong proficiency in Python and frameworks such as Flask, Django, Pandas
Hands on experience working with LLMs APIs (e.g. OpenAI, Gemini) and integration frameworks such as LangChain
Expertise in prompting techniques for AI models with optimization techniques
Knowledge of RAG methodologies and their applications
Hands on experience with designing DB driven applications and using an ORM such as SQLAlchemy
Hands on experience with Kubernetes
Ability to think strategically and the ability to engage resources outside of their direct control to achieve objectives
Capable of writing and building components to integrate into new or existing systems
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