Python Backend Engineer - Django/Flask (5-10 yrs)

As a Python Backend Architect/Engineer, you will be instrumental in designing, developing, and maintaining our core backend systems. You will work closely with our cross-functional teams to implement cutting-edge AI solutions, including large language models (LLMs), to power innovative applications like voice-interactive systems, chatbots, and AI-driven web applications.

Responsibilities :

- Design and implement robust, scalable, and high-performance backend systems.

- Ensure the system's reliability, security, and maintainability.

- Optimize system performance and resource utilization.

- Integrate AI models, particularly LLMs, into backend systems.

- Design and implement efficient data pipelines for AI model training and inference.

- Optimize AI model performance for real-time applications.

- Develop RESTful APIs to expose backend services to frontend applications.

- Ensure API security, performance, and documentation.

- Design and optimize database schemas for efficient data storage and retrieval.

- Implement data migration strategies and backup procedures.

- Leverage cloud platforms (AWS, GCP) to deploy and manage backend systems.

- Utilize containerization technologies (Docker) for efficient deployment and scaling.

- Identify and resolve performance bottlenecks.

- Implement load testing and monitoring strategies.

- Collaborate with cross-functional teams (frontend, data science, product) to deliver high-quality solutions.

- Mentor and guide junior team members.

Required Skills and Experience :

- Strong proficiency in Python programming language

- Experience with backend frameworks (Django, Flask)

- Familiarity with database technologies (MySQL, MongoDB, vectorDB)

- Knowledge of cloud platforms (AWS, GCP) and containerization (Docker)

- Understanding of RESTful APIs and API design principles

- Experience with version control systems (Git)

- Proficiency in testing frameworks (Unit testing, Integration testing)

- Experience with AI and machine learning concepts

- Knowledge of natural language processing (NLP) techniques

- Familiarity with LLMs and their applications

- Hands-on experience with Langchain framework (preferred)

- Strong problem-solving and analytical skills

- Excellent communication and collaboration skills

- Ability to work independently and as part of a team

- Attention to detail and a commitment to quality

- Passion for learning and staying up-to-date with the latest technologies.

Location : Panjim, Goa

Working Mode : Hybrid

Interview Process :

- Introductory and Technical Round : Assessment of technical skills and experience.

- System Design Round : Evaluation of system design and problem-solving abilities.

- HR Final Discussion : Assessment of cultural fit and career aspirations.