Area(s) of responsibility

Job Description –AWS GenAI Developer:

Experience: 8+ Years
Skills Required:

AWS Bedrock

AWS Quick Sight

Strong AWS cloud development and integration experience

GenAI implementation experience is preferred

Role Summary:

We are seeking a highly skilled Senior GenAI Developer with 8+ years of software development experience and strong expertise in AWS cloud technologies. The ideal candidate will have hands-on experience in AWS Bedrock, AWS QuickSight, cloud-native application development, integration, and Generative AI solution implementation. The candidate will be responsible for designing, developing, and deploying scalable AI-powered applications, analytics solutions, and enterprise integrations on AWS.

Key Responsibilities

• Design, develop, and deploy Generative AI solutions using AWS Bedrock and foundation models.
• Build AI-powered applications leveraging RAG, prompt engineering, model orchestration, and agentic workflows.
• Develop and manage cloud-native applications and microservices on AWS.
• Create interactive dashboards, reports, and business insights using AWS QuickSight.
• Integrate enterprise applications, APIs, databases, and third-party platforms with AWS services.
• Implement secure, scalable, and high-performance architectures following AWS best practices.
• Collaborate with product owners, architects, and business stakeholders to define technical solutions.
• Optimize AI application performance, monitoring, governance, and cost efficiency.
• Mentor junior developers and participate in code reviews and technical design discussions.

Required Skills

• 5+ years of software development experience.
• Strong hands-on experience with AWS Cloud services.
• Experience with AWS Bedrock and foundation model integration.
• Experience with AWS QuickSight for data visualization and analytics.
• Proficiency in Python and API development.
• Experience with REST APIs, microservices, and cloud integrations.
• Knowledge of AWS Lambda, S3, API Gateway, IAM, CloudWatch, ECS/EKS.
• Strong understanding of CI/CD, DevOps, Git, and Agile methodologies.
• Experience with SQL/NoSQL databases.

Preferred Skills

• Hands-on GenAI implementation experience in production environments.
• Experience with LangChain, LangGraph, vector databases, and RAG architectures.
• Experience with prompt engineering, model evaluation, and AI guardrails.
• Knowledge of data engineering and analytics platforms.
• AWS Certifications are a plus.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Excellent communication and stakeholder management skills.
• Ability to independently lead technical initiatives and drive solution delivery.