Building High-Performance Artificial Intelligence Systems

1 week ago


Bengaluru, Karnataka, India beBeeArtificialIntelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

AI Development Opportunity

Job Title: AI Engineer (Senior Level)

Location:

  • Remote and Hyderabad, INDIA

Job Type:

  • Contract and Immediate Joiners

Job Description:

We are seeking a seasoned professional to develop high-performance applications and design efficient cloud-native architectures. As an experienced Senior AI Engineer, you will work on building scalable backend systems and APIs using Python and frameworks like FastAPI, Flask.

Key Responsibilities:

  1. Design, develop, and maintain scalable backend services and APIs using Python and relevant frameworks.
  2. Optimize database performance by utilizing SQL/NoSQL databases such as PostgreSQL, MySQL, MongoDB, Redis.
  3. Implement asynchronous programming for high-throughput applications using Kafka and RabbitMQ.
  4. Collaborate with data engineers to process and optimize large-scale datasets.
  5. Develop and integrate machine learning pipelines where necessary.
  6. Write well-documented, efficient code following best practices.
  7. Conduct code reviews and mentor junior developers.
  8. Ensure high system security, performance, and scalability.

Requirements:

  1. 5+ years of experience in software development and 5+ years in Python.
  2. 2+ years of experience in General AI, Open AI, AWS Bedrock, Crew, Langchain, etc.
  3. Strong understanding of object-oriented programming, design patterns, and SOLID principles.
  4. Experience in building RESTful and GraphQL APIs.
  5. Expertise in SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Elasticsearch).
  6. Knowledge of multi-threading, concurrency, and asynchronous programming.
  7. Hands-on experience with cloud platforms (AWS, GCP, Azure) and serverless computing.
  8. Experience working with DevOps tools, CI/CD pipelines, and containerization.
  9. Strong debugging and performance optimization skills.
  10. Proficiency in unit testing and test-driven development (TDD).


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