AI Developer (AWS & Amazon Kiro)

Job Overview

We are seeking a skilled AI Developer with hands-on experience in building AI-powered applications and foundational knowledge of AWS cloud services. The ideal candidate should also have exposure to Amazon Kiro and modern AI development workflows, including LLM integrations, automation, and cloud-based deployments.

The role involves designing, developing, and deploying intelligent solutions that enhance business operations and user experiences.

Key Responsibilities

• Design and develop AI/ML-powered applications and automation solutions
• Integrate Large Language Models (LLMs) and AI APIs into enterprise applications
• Work with AWS services for deployment, storage, monitoring, and scalability
• Utilize Amazon Kiro for AI development workflows, orchestration, or automation tasks
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• Build APIs, backend services, and AI pipelines
• Troubleshoot and optimize AI models and cloud infrastructure
• Maintain documentation and follow development best practices

Required Skills

• Strong programming skills in Python or JavaScript/TypeScript
• Understanding of AI/ML concepts and generative AI technologies
• Experience with AI frameworks/tools such as LangChain, OpenAI APIs, Hugging Face, or similar
• Basic hands-on experience with AWS services such as: EC2, S3, Lambda, IAM, CloudWatch
• Familiarity with Amazon Kiro
• Experience working with REST APIs and backend integration
• Knowledge of Git and CI/CD practices

Preferred Qualifications

• Experience deploying AI applications in cloud environments
• Understanding of vector databases and RAG architectures
• Exposure to Docker or containerized deployments
• Knowledge of prompt engineering and AI workflow automation
• Bachelor s degree in Computer Science, Engineering, or related field

Nice to Have

• Experience with Bedrock or AWS AI services
• Familiarity with chatbot or AI assistant development
• Exposure to DevOps or MLOps concepts

Benefits

• Opportunity to work on cutting-edge AI projects
• Flexible work environment
• Collaborative and innovation-driven culture
• Competitive compensation