· 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
Bachelor's or Master's degrees