Description

· Design, develop, and implement AI-driven applications using AWS, Bedrock, and Langchain. Collaborate with cross-functional teams to define, design, and ship new features.

· Optimize AI models for performance and scalability. Stay updated with the latest advancements in AI and machine learning through research.

· Develop and maintain documentation for AI models and systems. Troubleshoot and resolve issues related to AI applications and infrastructure.

· Participate in code reviews and provide constructive feedback to peers. Build and deploy applications that leverage AI capabilities to solve real-world problems.

· Implement Retrieval-Augmented Generation (RAG) techniques to enhance AI applications. Utilize vector databases for efficient data storage and retrieval.

· Develop and refine prompts for AI models to ensure optimal performance and accuracy.

 

Requirements:

· 5-6 years of experience in AI development, with a focus on agentic AI

· Proficiency in AWS services (e.g., EC2, S3, Lambda, SageMaker)

· Strong experience with Bedrock and Langchain for building AI applications

· Solid understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch)

· Experience with data preprocessing, feature engineering, and model evaluation

· Experience with other cloud platforms (e.g., Azure, Google Cloud)

· Knowledge of natural language processing (NLP) techniques

· Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes)

· Contributions to open-source AI projects

 

Preferred Qualifications:

· Bachelor's or Master's degree in Computer Science, Engineering, or a related field

· Excellent problem-solving skills and attention to detail

· Strong communication and teamwork abilities

Education

Bachelor's or Master's degrees