Posted:6 hours ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Experience: 8-10yrs

Location: Bangalore


Job Overview:

We are seeking a highly skilled AI Engineer with strong expertise in AWS application development and a passion for building scalable, high-performance cloud-native applications. This role involves designing and deploying serverless architectures, integrating AI/ML models including LLMs, and optimizing system performance in a dynamic and collaborative environment.


Key Responsibilities:

  • Design, develop, and deploy serverless applications using AWS services such as Lambda, API Gateway, Route 53, and optionally Fargate.
  • Build and maintain RESTful APIs using FastAPI for scalable, high-performance applications.
  • Collaborate with cross-functional teams to integrate AI/ML models and LLMs into production systems.
  • Analyze system performance, identify latency bottlenecks, and implement improvements for scalability and reliability.
  • Monitor and troubleshoot network infrastructure issues, including timeouts and connectivity problems.


Required Skills:

  • Hands-on experience with AWS, particularly:
  • AWS Lambda
  • API Gateway
  • Route 53
  • (Fargate is a plus)
  • Proficiency in FastAPI for API development.
  • Strong understanding of cloud-native architecture and microservices.


Preferred/Bonus Skills:

  • Experience with network performance analysis, latency optimization, and scalability improvements.
  • Familiarity with AI/ML models, especially Large Language Models (LLMs) and their deployment in production.
  • Knowledge of containerization and orchestration tools such as Docker, ECS, and Kubernetes.


Preferred Qualifications:

  • Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related field.
  • Certifications in AWS (e.g., AWS Certified Machine Learning – Specialty, AWS Certified Solutions Architect).
  • Experience with MLOps tools such as MLflow, Kubeflow, or SageMaker Pipelines.
  • Exposure to cloud-native AI services like AWS Bedrock, Azure OpenAI, or GCP Vertex AI.
  • Understanding security and compliance standards (e.g., GDPR, HIPAA) in AI deployments.
  • Experience working in agile, cross-functional teams and contributing to production-grade AI systems.

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