Senior AI Software Engineer (Python)

Shuru Technologies; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Shuru Technologies seeks a Senior AI Software Engineer to design and scale cloud-native apps with AI/ML features on AWS. You will build scalable services, integrate AI capabilities, and apply best practices for security and performance.

The role requires 5+ years in software development, expertise in Python/Java/Node.js, and hands-on with containers (Docker, Kubernetes) and OpenShift ROSA. You will mentor juniors and drive AI-assisted development across teams.

Qualifications

• 5+ years of software development experience, focused on cloud technologies.
• Proficiency in AWS services such as EC2, S3, Lambda, RDS, CloudFormation.
• Strong programming skills in Python, Java, or Node.js.
• Experience with ROSA (OpenShift on AWS) and containerization (Docker, Kubernetes).
• Familiarity with CI/CD pipelines and tools (Jenkins, GitLab, AWS CodePipeline).
• Experience deploying AI/ML capabilities and integrating AI services (SageMaker, Bedrock).
• Hands-on with AI-assisted development tools (GitHub Copilot, Claude, Kiro).
• Experience with scalable distributed systems and cloud-native architectures.

Responsibilities

• Design, develop, and maintain scalable cloud-based applications on AWS.
• Integrate AI/ML features and agents into applications.
• Leverage AI-assisted development tools to accelerate delivery and code quality.
• Collaborate with cross-functional teams to ship new features.
• Implement best practices for cloud architecture, security, and performance.
• Automate deployment, monitoring, and management of cloud apps.
• Write clean, maintainable full-stack code and mentor junior engineers.
• Stay updated with AWS technologies and industry trends.

Skills

Python

Java

Node.js

Distributed systems

Cloud architecture

Tools

OpenShift ROSA

Docker

Kubernetes

Jenkins

CodePipeline

Job description

We are seeking a forward-looking Senior AI Software Engineer to design, build, and scale next-generation applications leveraging cloud-native architectures, AI/ML capabilities, and modern engineering practices. The ideal candidate is a strong software engineer with expertise in distributed systems, AWS cloud technologies, platform engineering, and AI-powered application development. This individual will help establish foundational capabilities for AI agents, enable scalable agent orchestration frameworks, and drive adoption of AI-assisted software development practices across the engineering organization.

Responsibilties:

• Design, develop, and maintain scalable cloud-based applications using AWS services.
• Build and integrate AI/ML-powered features and agents into applications using AWS AI services.
• Leverage AWS Kiro and AI-assisted development tools to accelerate software delivery, automate tasks, and improve code quality. Apply AI-assisted development tools to accelerate software delivery, automate repetitive tasks, and improve code quality.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Implement best practices for cloud architecture, security, and performance.
• Automate deployment, monitoring, and management of cloud applications.
• Write clean, efficient, and maintainable code and contribute to both front-end and back-end development as a full-stack engineer.
• Troubleshoot and resolve issues related to cloud infrastructure and applications.
• Mentor and guide junior engineers, fostering a culture of continuous improvement.
• Stay up-to-date with the latest AWS technologies and industry trends.

Requirements:

• 5+ years of experience in software development, with a focus on cloud technologies.
• Proficiency in AWS services such as EC2 S3 Lambda, RDS, and CloudFormation.
• Strong programming skills in languages such as Python, Java, or Node.js .
• Experienced in deploying and managing applications using Red Hat OpenShift Service on AWS
• (ROSA), leveraging its robust platform for scalable and efficient cloud solutions.
• Experience with containerization technologies like Docker and Kubernetes.
• Familiarity with DevOps practices and tools.
• Knowledge of CI/CD pipelines and tools like Jenkins, GitLab, or AWS CodePipeline.
• Hands-on experience with AWS cloud services and building distributed systems.
• Experience integrating AI/ML capabilities into applications (e. g., personalization, NLP, recommendations).
• Familiarity with AWS AI/ML services such as Amazon SageMaker, Bedrock, and AgentCore.
• Demonstrated experience using AI-assisted development tools (e. g., GitHub Copilot, Claude, and Kiro) to accomplish tasks such as generating and reviewing code, writing and maintaining tests, creating documentation, and debugging, with the judgment to validate and own AI-generated output.