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Agentic Software Development Engineer

What you will learn:

Vector

The way software is built is changing. Software development is being rewritten. How? AI has moved beyond coding assistants that simply suggest code. Today's autonomous coding agents can plan, write, test, and even deliver code with minimal human intervention.

The engineers who know how to guide, manage, and collaborate with these AI agents are becoming the most valuable members of software teams. They are the Agentic Software Development Engineers (Agentic SDEs).

Simpliaxis launched a session on “Agentic Software Development Engineer” that breaks down how Agentic AI is reshaping the entire Software Development Life Cycle from requirements and design through coding, testing, and deployment.

You will explore how an Agentic SDE actually works day-to-day with tools like Claude Code, OpenAI Codex, and Cursor, get our playbook for scaling this skill set across engineering teams, and step into the hands-on Agentic AI Playground to build project- and deployment-ready skills of your own. 

Register Today. Find out why the Agentic Software Development Engineer is emerging as one of the fastest-growing roles in enterprises.

Default Trainer

Agentic Software Development Engineer: The Next Emerging Career

Who Facilitates This Session?

Abhiroop Roy is an Artificial General Intelligence and Agentic AI expert with over 21 years of B2B/B2C software product experience. A Fractional Chief AI Officer and advisor to senior leaders, he has delivered 150+ Agentic and Generative AI training sessions, mentoring over 50 Fortune 2000 enterprises through their AI journeys. 

Expertise on: Anthropic Claude, OpenAI ChatGPT, LLMs & Vector Databases | Google Gemini | AWS Bedrock | GCP Vertex AI

Saurabh Shrivastava is an Agentic AI Architect and Enterprise AI Strategist with over 22 years of IT industry experience. He leads AI Product Engineering teams that build, deploy, and scale production-grade AI systems, from intelligent agents to enterprise copilots and full-stack ML platforms, translating AI research into revenue-generating products that operate reliably in real-world enterprise environments. 

Expertise on: Agentic AI Architecture, Multi-Agent Systems, RAG Systems, MLOps & AgentOps, AI Governance & Monitoring, LangGraph, Google ADK

Who Should Attend?

This session is built for engineering and product professionals who want to bring Agentic AI into the software build-and-run lifecycle:

  • Software Development Engineers
  • Engineering Managers & Tech Leads
  • QA & Test Automation Engineers
  • DevOps & Platform Engineers
  • API & Backend Developers
  • CTOs & Engineering Directors
  • Career Switchers & Developers

What Will You Get?

Our Special Offer for participants:

  • Agentic Software Development Engineer Blueprint
  • Playbook for Scaling Agentic SDEs Across Engineering Teams
  • Real-World SDLC Case Studies
  • Live Demo: Building a Software App with Claude Code/OpenAI Codex/Cursor
  • Live Demo: Building an API with Claude Code/OpenAI Codex/Cursor
  • Exclusive Access to the Agentic AI Playground Platform
  • Step-by-Step Agentic SDE Learning Path

Why Join This Webinar

Real world case studiesLearn from safe experts
Network opportunitiesFree Resources

Program Outline

Agentic and Generative AI, Large Language Models (LLMs)

SDLC/Software Engineering use cases of Agentic AI/AI Agents

Overview of this new career path, managing SDLC with AI

Our playbook for building highly effective Agentic SDEs at scale

Introducing our Agentic AI Playground platform – Build project/deployment-ready Agentic SDEs

Walkthrough – Learning Path: Agentic Software Development Engineer

Demo – Lab on building a software app with Claude Code/OpenAI Codex/Cursor

Demo – Lab on building an API with Claude Code/OpenAI Codex/Cursor

Webinar Registration

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