Python GenAI Developer

Key Responsibilities

1. Python Development:

• Design, develop, and maintain Python-based applications and tools.

• Write clean, efficient, and reusable code while adhering to best practices.

• Integrate third-party APIs and libraries as needed.

• Perform code reviews, testing, debugging, and optimization.

2. Generative AI Development:

• Develop and fine-tune generative AI models using frameworks like TensorFlow, PyTorch, or Hugging Face.

• Implement machine learning algorithms and deploy AI-powered solutions for specific business requirements.

• Research and experiment with state-of-the-art generative AI techniques (e.g., GPT, Stable Diffusion, Transformers).

• Build custom AI models and pipelines to address domain-specific challenges.

3. Collaboration:

• Work closely with data scientists, engineers, and stakeholders to understand project requirements and deliver solutions.

• Collaborate with UI/UX teams to integrate AI models into applications.

• Participate in Agile workflows, including daily stand-ups, sprint planning, and retrospectives.

4. Deployment & Maintenance:

• Deploy AI solutions on cloud platforms like AWS, Azure, or Google Cloud.

• Monitor system performance and optimize scalability and reliability.

• Troubleshoot issues in production and implement fixes.

5. Documentation:

• Create comprehensive documentation for AI models, tools, and code.

• Provide guidelines for users and teams for seamless integration and usage.

6. L3 Support:

• Investigate, diagnose, and resolve advanced issues related to GenAI solutions, Python applications, and AWS infrastructure.

• Provide root cause analysis (RCA) for production incidents and ensure quick turnaround for issue resolution.

• Collaborate with L1/L2 teams and developers to troubleshoot and resolve complex problems.

• Development and Automation:

• Develop, test, and deploy Python-based scripts, applications, and workflows.

• Automate routine tasks and implement monitoring tools to ensure system reliability.

• AWS Cloud Management:

• Design, implement, and maintain cloud-native solutions on AWS (e.g., Lambda, S3, EC2, SageMaker,EMR,Redshift etc.).

• Optimize AWS services for cost efficiency and performance.

Required Skills and Qualifications

Technical Skills:

• Strong proficiency in Python programming and frameworks (e.g., Flask, FastAPI, Django).

• Hands-on experience with AWS services (e.g., Lambda, S3, EC2, IAM, CloudFormation).

• Experience with GenAI tools (e.g., OpenAI, Hugging Face, or custom LLMs).

• Knowledge of DevOps tools like Docker, Kubernetes, and CI/CD pipelines.

• Familiarity with RESTful APIs and integration of AI/ML solutions.

• Strong debugging and problem-solving skills in production environments.

• Soft Skills:

• Excellent communication and collaboration skills.

• Ability to work in a fast-paced environment and manage competing priorities.

• Education and Experience:

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• 10 years of experience in software development, with 5 years in AWS and AI/ML technologies.

Preferred Skills

• Certification in AWS (e.g., AWS Certified Solutions Architect or Developer).

• Certification in AI/ML or cloud technologies (e.g., AWS Certified Machine Learning).