Python GenAI Developer

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• 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.
• Develop and fine‑tune generative AI models using frameworks like Tensor Flow, 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.
• 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.
• 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.
• Create comprehensive documentation for AI models, tools, and code.
• Provide guidelines for users and teams for seamless integration and usage.
• 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.
• Develop, test, and deploy Python‑based scripts, applications, and workflows.
• Automate routine tasks and implement monitoring tools to ensure system reliability.
• Design, implement, and maintain cloud‑native solutions on AWS (e.g., Lambda, S3, EC2, Sage Maker, EMR, Redshift, etc.).
• Optimize AWS services for cost efficiency and performance.

• Strong proficiency in Python programming and frameworks (e.g., Flask, FastAPI, Django).
• Hands‑on experience with AWS services (e.g., Lambda, S3, EC2, IAM, Cloud Formation).
• Experience with GenAI tools (e.g., OpenAI, Hugging Face, or custom LLMs).
• Knowledge of Dev Ops 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.
• Excellent communication and collaboration skills.
• Ability to work in a fast‑paced environment and manage competing priorities.
• 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).

Mid‑Senior level

Contract

Information Technology

IT Services and IT Consulting