GenAI SDE-2

Job Description: Full Stack Developer (Generative AI)

Experience Level: 5 to 7 Years

Location: Chennai, India

Employment Type: Full-time

Preferred candidate location: Chennai and Candidates who are willing to relocate

CTC Range: 20L to 25L (For some top creamy candidates we can negotiate but not too much)

Working Days – Monday to Friday

Work From Home – 2 Days per month.

About the Role:

We are seeking a skilled and innovative Software Development Engineer (SDE) to join our Chennai-based team. This role involves contributing to the development of cutting-edge generative AI applications and systems, integrating advanced machine learning models, and ensuring high standards in design, implementation, and deployment. As an SDE, you will also play a key role in mentoring team members and optimizing application performance.

Key Responsibilities:

1.    Problem Solving and Design:

• Analyze and address complex challenges in generative AI and application development.

• Propose and implement scalable, efficient solutions tailored to real-world use cases.

2.    Software Development and Integration:

• Develop, test, and maintain front-end and back-end components for generative AI applications.

• Implement and manage APIs to integrate AI models into web and mobile platforms.

• Debug and resolve application issues, ensuring smooth operation and integration.

3.    Generative AI Development:

• Integrate pre-trained models, including large language models (LLMs).

• Optimize AI solutions for performance, scalability, and reliability.

• Experiment with new generative AI frameworks and technologies to enhance application capabilities.

4.    CI/CD and DevOps Practices:

• Build and maintain CI/CD pipelines for seamless deployment of AI-driven applications.

• Implement DevOps best practices to ensure efficient and secure operations.

5.    Operational Excellence:

• Maintain high standards of performance, security, and scalability in design and implementation.

• Monitor and troubleshoot system performance to ensure reliability.

• Document technical workflows and ensure team adherence to operational guidelines.

6.    Team Collaboration and Mentorship:

• Work closely with cross-functional teams, including product managers, ML engineers, and designers, to deliver high-quality solutions.

• Mentor junior engineers, fostering a collaborative and learning-oriented environment.

• Participate in code reviews, brainstorming sessions, and team discussions.

7.    Continuous Learning and Innovation:

• Stay updated on the latest trends in generative AI, cloud platforms, and full-stack development.

• Experiment with new tools and frameworks to drive innovation.

Required Skills and Qualifications:

• Education: Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.

Technical Skills:

• Proficiency in front-end technologies: HTML, CSS, JavaScript (React, Angular, or ).

• Proficiency in back-end technologies: , Python, or Java.

• Strong understanding of databases: SQL (MySQL/PostgreSQL) and NoSQL (MongoDB).

• Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD, CircleCI).

• Familiarity with AI frameworks such as TensorFlow, PyTorch, or Hugging Face.

Attributes:

• Strong problem-solving and system design skills.

• Ability to mentor team members and collaborate effectively in a team environment.

• Excellent communication skills for explaining technical concepts.

Nice-to-Have Skills:

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.

• Knowledge of containerization tools (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation).

What We Offer:

• A vibrant and innovative work environment focused on generative AI solutions.

• Opportunities to work on state-of-the-art AI projects with industry experts.

• A culture that values creativity, collaboration, and continuous learning.