Generative AI Engineer

What we're looking for

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.

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

**“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”