Generative AI Engineer - Large Language Models (7-10 yrs)

Role Overview :

As a GenAI Engineer, you will be at the forefront of developing and deploying cutting-edge AI-powered applications. You will leverage your expertise in Python, TypeScript, and Generative AI frameworks to design, develop, and deploy scalable solutions. This role demands a strong understanding of Large Language Models (LLMs), API development, Kubernetes deployment, and a passion for pushing the boundaries of AI technology.

Responsibilities :

- Design and develop AI-powered applications utilizing OpenAI inference endpoints and frameworks like LLAMA/LangChain.

- Develop and integrate LLM models into applications to create intelligent and interactive user experiences.

- Conduct research and experimentation with emerging GenAI technologies and techniques.

- Implement and maintain GenAI solutions.

- Design, develop, and deploy scalable Python APIs using best practices and industry standards.

- Ensure APIs are robust, secure, and performant.

- Debug and resolve issues with deployed endpoints.

- Develop and maintain TypeScript applications, including Visual Studio extensions, with UI exposure in ReactJS/TypeScript.

- Create intuitive and user-friendly interfaces for AI-powered applications.

- Deploy and manage applications on Kubernetes, ensuring high availability, scalability, and reliability.

- Utilize Docker for containerization and ensure seamless deployment across environments.

- Implement CI/CD pipelines to automate application deployments.

- Monitor and maintain deployed applications.

- Troubleshoot and resolve technical issues.

- Ensure the security and stability of AI-powered systems.

Required Capabilities :

- 7+ years of experience in software development, with a focus on AI and related technologies.

- Strong hands-on experience with Generative AI concepts and technologies.

- Practical experience with at least 1-2 projects involving Generative AI.

- Expertise in Python programming and API development.

- Proficiency in TypeScript and experience with ReactJS.

- Strong hands-on experience with Docker and Kubernetes.

- Knowledge of LLM models and frameworks like LLAMA/LangChain.

- Experience with OpenAI inference endpoints.

- Ability to design, develop, and deploy scalable Python APIs.

- Experience in debugging and resolving issues in deployed endpoints.

- Strong understanding of software development best practices and design patterns.

- Excellent problem-solving and analytical skills.

- Strong understanding of CI/CD pipelines.

- Experience with cloud platforms (e.g., AWS, Azure, GCP).

- Familiarity with machine learning and deep learning concepts.

- Experience with database technologies (e.g., SQL, NoSQL).

- Experience with other LLM frameworks.

Qualifications :

- Bachelor's Degree in Computer Science, Engineering, or a related technical field.

- Masters Degree in Computer Science, Engineering, or a related field is preferred.