AI Development Specialist

1 day ago

Lucknow, Uttar Pradesh, India beBeeArtificialIntelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Opportunity for AI Engineering Expertise

At the forefront of technological innovation, we are seeking a highly skilled and experienced AI Engineer to spearhead the development and optimization of scalable backend systems, APIs, and AI Automation workflows.

The ideal candidate will have extensive experience in building high-performance applications, integrating third-party APIs, and designing efficient, cloud-native architectures.

You will be responsible for designing, developing, and maintaining scalable backend services and APIs using Python/Fast API and frameworks like FastAPI, Flask.

In addition, you will optimize database performance using SQL/NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis), implement asynchronous programming for high-throughput applications using Kafka, RabbitMQ, and work with microservices architecture, containerization (Docker), and orchestration (Kubernetes).

Key Responsibilities Include:

  • Developing and implementing machine learning pipelines where necessary.
  • Collaborating with data engineers to process and optimize large-scale datasets.
  • Implementing CI/CD pipelines for continuous deployment and testing.
  • Writing efficient, well-documented, and maintainable code following best practices.
  • Conducting code reviews and mentoring junior developers.
  • Ensuring high system security, performance, and scalability.

To be successful in this role, you will need 5+ years of experience in software development and 5+ in Python, as well as 2+ yrs exp of Gen AI, Open AI, AWS bedrock, crew,ai, langchain, etc.

Required Skills and Qualifications:

  • Strong understanding of OOP, design patterns, and SOLID principles.
  • Experience in building RESTful and GraphQL APIs.
  • Expertise in SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Elasticsearch).
  • Knowledge of multi-threading, concurrency, and asynchronous programming.
  • Hands-on experience with cloud platforms (AWS, GCP, Azure) and serverless computing.
  • Experience working with DevOps tools, CI/CD pipelines, and containerization.
  • Strong debugging and performance optimization skills.
  • Proficiency in unit testing and test-driven development (TDD).

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