Having 5 years of experience in AI Frame works / AI tools
Skillset :
Core Python & System Development:
• 3+ years of hands-on experience in Application Development, primarily with Python.
• 3+ years of hands-on experience in AI Application Development, Including Agentic Frameworks.
• Expert-level Python 3.x proficiency for scalable, resilient, and high-performance applications.
• Advanced knowledge of Python frameworks (FastAPI, Django, Flask), best practices, and design patterns (OOP).
• Strong understanding of software architecture principles and distributed system design
• Extensive experience with relational (PostgreSQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, Redis), including advanced SQL.
• Proven expertise in designing, developing, and securing RESTful APIs and integration patterns.
• Hands-on experience with CI/CD systems (Jenkins, GitLab CI, GitHub Actions, Bitbucket Pipelines) for automated deployment.
• Highly experienced with Unix-based operating systems.
Cloud & DevOps:
• Strong background in cloud platforms (AWS, Azure, GCP), including containerization (Docker) and contributing to Kubernetes orchestration.
• Advanced troubleshooting, debugging, and performance optimization for distributed systems. • Proficiency in automated testing frameworks (Pytest, unittest) and TDD methodologies.
• Solid understanding of secure coding practices and application security principles (OWASP Top 10).
• Expertise in Git (Bitbucket, GitHub) for advanced branching and pull request workflow.
Quantitative & Risk Domain:
• Experience developing Quantitative/Calc-intensive Python solutions with advanced computation libraries.
• Sound understanding and exposure to various Risk Methodologies.
• Exposure to mathematical modeling/finance insights.
Artificial Intelligence (AI) Integration (Exposure):
• Exposure to AI/ML tools and frameworks (TensorFlow, PyTorch, scikit-learn).
• Practical experience with AI tools (Copilot, Devin, Claude/Gemini/GPT) for development workflows.
• Experience with Agentic AI tools, including writing Agents and Skills, and contributing to Agentic frameworks.
• Understanding and practical application of Generative AI concepts in software development.
Responsibilities :
Proficiency in designing and implementing agentic flows and building autonomous AI agents capable of reasoning, planning, and tool utilization.
