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BMC Sr Applications Developer 
India, Maharashtra 
807318616

08.04.2025
Description and Requirements

CareerArc Code

Here is how, through this exciting role, YOU will contribute to BMC's and your own success:
  • Design and develop full-stack applications using React (frontend) and Fast API (backend)
  • Build and optimize LLM applications using Langchain and related frameworks
  • Architect and maintain cloud-native applications on AWS EKS clusters
  • Implement and optimize integrations with Bedrock services for LLM functionalities
  • Develop and maintain AI pipelines using Python ML frameworks
  • Manage and optimize databases (ex. PostgreSQL) in AWS RDS
  • Integrate and maintain SSO solutions using OKTA
  • Collaborate with AI researchers to implement and deploy ML models
  • Design and develop RESTful APIs for AI service integration
  • Implement secure and scalable cloud infrastructure using AWS services
  • Lead technical design discussions and architecture reviews
To ensure you’re set up for success, you will bring the following skillset & experience:
  • 5+ years of full-stack development experience
  • Strong proficiency in React.js and modern JavaScript/TypeScript
  • Expert-level Python development skills
  • Experience with Python AI/ML frameworks:
    • Langchain for LLM applications
    • NumPy and Pandas for data manipulation
    • Scikit-learn for ML implementations
    • PyTorch or TensorFlow (preferred)
  • Experience with Fast API framework
  • Proven experience with AWS services, especially EKS and RDS
  • Solid understanding of Kubernetes and container orchestration
  • Experience with PostgreSQL and database optimization
  • Knowledge of authentication systems and SSO implementation (OKTA preferred)
  • Experience with CI/CD pipelines and DevOps practices
  • Understanding of RESTful API design principles
Whilst these are nice to have, our team can help you develop in the following skills:
  • Experience with LLM integration and AI services
  • Familiarity with AWS Bedrock or similar AI services
  • Strong background in Python ecosystem:
    • Hugging Face transformers
    • Streamlet for AI applications
  • Experience with vector databases (e.g., Pinecone, Chroma)
  • Experience in prompt engineering and LLM optimization techniques
  • Experience in implementing microservices architecture
  • Experience with monitoring and observability tools
  • Security best practices in cloud environments

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