Associate Staff Engineer (Python + Agentic Workflows)

Requirements

• Experience : 4 years
• Strong experience in full-stack software development with strong expertise in Python backend development and modern JavaScript frontend frameworks such as React or equivalent.
• Strong programming skills in Python with experience building scalable backend services REST APIs and enterprise applications.
• Hands-on experience developing production-grade AI applications using Large Language Models (LLMs) including function calling tool usage and agentic AI workflows.
• Strong understanding of prompt engineering system prompt design tool definition prompt optimization and multi-step AI orchestration.
• Experience designing and implementing autonomous AI agents capable of reasoning retrieval and enterprise task execution.
• Experience integrating enterprise applications through REST APIs including platforms such as SAP Microsoft Graph SharePoint relational databases and workflow systems.
• Strong frontend development experience using React or similar frameworks to build responsive dashboards and interactive user interfaces.
• Experience developing real-time applications enterprise dashboards and AI-powered web applications.
• Experience deploying applications on cloud or on-premises environments with knowledge of SSO authentication enterprise networking and security best practices.
• Hands-on experience with CI/CD pipelines version control systems and modern software deployment practices.
• Familiarity with AI-assisted development tools such as GitHub Copilot Cursor Claude Code or similar productivity tools is preferred.
• Experience building enterprise automation platforms internal business tools or operational dashboards is an advantage.
• Exposure to Retrieval-Augmented Generation (RAG) vector databases document processing pipelines embeddings and semantic search is desirable.
• Strong understanding of software architecture API integration and scalable application development principles.
• Excellent analytical troubleshooting and problem-solving skills with the ability to work independently in a fast-paced evolving environment.
• Strong verbal and written communication skills with the ability to collaborate effectively across cross-functional teams.
• Bachelors degree in Computer Science Information Technology Engineering or a related discipline.
• Experience with DevOps practices containerization cloud platforms and AI application deployment is an added advantage.

Responsibilities

• Design develop and deploy AI agents capable of autonomous reasoning data retrieval decision-making and task execution across enterprise applications and business systems.
• Build and optimize agentic AI workflows using LLMs function calling tool orchestration and multi-step reasoning to automate complex business processes.
• Develop robust Python backend services that orchestrate AI interactions manage multi-turn conversations execute enterprise API calls and deliver structured reliable responses.
• Design implement and maintain modern frontend applications using React or equivalent frameworks to provide intuitive dashboards real-time AI interactions and user-friendly interfaces.
• Develop one-click automation workflows interactive dashboards formatted response views and conversational interfaces for enterprise users.
• Integrate AI agents with enterprise platforms such as SAP Microsoft SharePoint Microsoft Graph relational databases approval systems and other business applications through secure APIs.
• Design and implement prompt engineering strategies system prompts tool definitions and orchestration logic to ensure accurate secure and reliable AI agent behavior.
• Develop intelligent enterprise automation solutions for document retrieval business reporting operational alerting workflow automation approval management and data analysis.
• Deploy and maintain AI applications on cloud or on-premises infrastructure with Single Sign-On (SSO) secure authentication CI/CD pipelines and enterprise networking configurations.
• Collaborate with business stakeholders product teams architects and developers to understand business requirements and translate them into scalable AI-powered solutions.
• Optimize AI agent performance reliability scalability and user experience through continuous testing monitoring debugging and performance tuning.
• Ensure AI applications follow enterprise security governance and software engineering best practices.
• Maintain technical documentation architecture designs API integrations deployment guides and operational documentation.
• Stay updated with emerging AI technologies LLM capabilities and enterprise automation trends to continuously improve solution capabilities.

Qualifications :

Bachelors or masters degree in computer science Information Technology or a related field.

Remote Work :

No

Employment Type :

Full-time