Senior Front-End Software Engineer

2 weeks ago

Delhi Hyderabad Bengaluru, India beBeeDeveloper Full time ₹ 15,75,000 - ₹ 20,25,000
Job Overview:

We are seeking a skilled and experienced Front End Developer to join our team.

This role will involve designing and developing cutting-edge front-end applications using modern frameworks like React, Angular, Vue, or Next.js.

The ideal candidate will have expertise in Python and experience with FastAPI or similar frameworks. They will also have strong front-end development skills, including state management and UI optimization.

  • Develop and maintain full-stack AI-driven applications using FastAPI and modern front-end frameworks.
  • Design, implement, and optimize AI models, including Generative AI models, to solve complex problems.
  • Deploy and manage applications in cloud environments (AWS, Azure, or GCP), ensuring scalability, resilience, and cost efficiency.
  • Integrate and optimize AI models using frameworks like LangChain, LlamaIndex, and agent orchestration tools such as LangGraph, AutoGen, and CrewAI.
  • Implement monitoring and observability solutions for real-time tracking, logging, and debugging of AI models and APIs.
  • Fine-tune AI models as needed for performance and accuracy, leveraging techniques like transfer learning and parameter optimization.
  • Ensure robust error handling and fault tolerance to maintain high availability and performance.
  • Design and implement disconnected architectures that can operate with limited or intermittent connectivity.

Required Skills & Experience:

  • Proficiency in Python and experience with FastAPI or similar frameworks.
  • Strong front-end development experience with React, Angular, Vue, or Next.js, including state management and UI optimization.
  • Experience deploying applications in AWS, Azure, or GCP, including containerization (Docker, Kubernetes), serverless computing, and CI/CD pipelines.
  • Strong understanding of monitoring and observability tools (e.g., Prometheus, Grafana, OpenTelemetry, ELK stack).
  • Hands-on experience with LLMs, fine-tuning techniques, RAG (Retrieval-Augmented Generation), and AI model optimization.

Benefits:

  • Collaborate with cross-functional teams, including data scientists, front-end developers, and DevOps engineers, to deploy AI models into production.
  • Participate in code reviews, provide constructive feedback, and contribute to best practices in AI development.
  • Stay updated with the latest advancements in AI, cloud technologies, web development, and agent-based architectures.

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