Agentic Developer

8+ years of Exp.

Handon exo in Copilot Build Studio is mandatory.

Immediate - 30 Days NP.

Agentic Developer (L3) - Python & Azure Focus

We are seeking a talented and detail-oriented L3 Agentic Developer with strong hands-on Python experience and expertise in Microsoft Azure. This role will focus on designing, developing, and deploying robust, autonomous AI agents leveraging the latest agentic design patterns and cloud-native services. The ideal candidate will be a proactive problem-solver, adept at debugging complex systems, and knowledgeable about secure cloud principles.

Key Responsibilities:

• Agent Development: Design, build, and deploy sophisticated AI agents using Python and frameworks like LangGraph, implementing complex DAGs with conditional edges and autonomous tool-calling capabilities.
• Azure Integration: Architect and implement solutions leveraging core Azure services, including deploying application logic via Azure Functions and integrating with monitoring tools such as Application Insights or Log Analytics Workspace (LAW).
• Secure Infrastructure: Implement secure cloud practices, including managing service principles, user principles, and Managed Identities for secure, credential-free service interaction.
• Debugging & Troubleshooting: Utilize strong debugging skills to identify and resolve complex issues across local environments and cloud deployments, proficient with integrated debuggers and console-based methods.
• Prompt Engineering: Apply advanced prompt engineering techniques, understanding trade-offs between different methods (e.g., few-shot prompting, chain-of-thought, tool schema provision) to optimize LLM performance and reliability.
• Design Patterns: Drive the adoption of agentic design patterns, specifically implementing the LLM as a decision maker pattern where the model dynamically selects and executes tools based on provided schema and context.

Required Qualifications:

• Experience: Proven hands-on experience as a Python Developer building production-grade applications.
• Cloud Proficiency: Strong experience with Cloud platforms, preferably Microsoft Azure (AWS or GCP experience is also valued).
• Technical Skills:
• Proficiency with AI orchestration frameworks such as LangGraph.
• Experience deploying and managing applications on Azure Functions.
• Knowledge of monitoring tools like Azure App Insights or Log Analytics.
• Deep understanding of secure identity management within cloud environments (Service Principals, Managed Identities).
• Expert-level debugging skills in various environments.
• AI Knowledge: Demonstrated understanding of prompt engineering techniques and core agentic design patterns.

Preferred (Good to Have) Qualifications:

• Development Tools: Familiarity with the VS Code IDE environment.
• Cloud Networking: Knowledge of Azure networking components (VNets, Subnets, DNS configurations).
• DevOps/IaC: Experience creating simple CI/CD pipelines or managing infrastructure as code using Bicep or Terraform.
• Performance Optimization: Experience with Python asynchronous programming (asyncio), multi-processing, or multi-threading concepts.
• Emerging Tech: Awareness of concepts like the Model Context Protocol (MCP).

Level 3 (L3) Expectations

:An L3 engineer is expected to operate with significant autonomy, own medium-to-large features end-to-end, provide technical guidance to junior team members, troubleshoot complex, non-obvious issues across system boundaries, and contribute actively to architectural discussions