Software Engineering Lead Analyst_93802

Company:A Large Global Organization

Key Skills: Agentic AI, Fast Api, Python, AWS, Micro Services

Roles and Responsibilities:

• Design and develop intelligent applications using Python and modern AI frameworks.
• Build, train, and deploy machine learning and deep learning models for production environments.
• Implement generative AI and agentic solutions using frameworks such as LangChain, LangGraph, and ReAct agents.
• Develop and maintain scalable APIs and user interfaces using FastAPI and Streamlit.
• Apply human-in-the-loop and supervisory methodologies to improve AI model reliability and governance.
• Integrate AI models into business workflows, collaborating with product, data, and engineering teams.
• Leverage platforms such as Databricks for data processing, experimentation, and model training.
• Ensure code quality, maintainability, and validation using Pydantic models and engineering best practices.
• Deploy applications on AWS and OpenShift using automated CI/CD pipelines.
• Monitor application health, performance, and reliability with logging, tracing, and observability tools.
• Participate actively in Agile ceremonies within Scrum or Kanban teams.
• Support release management, configuration, and deployment activities.
• Conduct peer code reviews and contribute to continuous improvement initiatives.
• Troubleshoot and integrate microservices and APIs across distributed systems.

Skills Required:

• Strong proficiency in Python and backend development.
• Hands-on experience with agentic AI, LLM-based systems, and generative AI.
• Experience building RESTful APIs using FastAPI.
• Understanding of microservices architecture and distributed systems.
• Familiarity with cloud platforms (AWS) and containerized deployments.
• Strong problem-solving, debugging, and communication skills.

Education: Any Graduation or Post-Graduation in Computer Applications, Computer Engineering, Computer Science, or a related discipline.