---
title: "Suraj Sharma on Becoming an Agentic AI Engineer"
url: https://stacklist.com/card/3cf73adb-3360-4393-9260-ce0b14dc22d4
source_url: "https://x.com/suraj_sharma14/status/2066128527989113123?s=12"
stack: https://stacklist.com/stack/df22d380-644b-4775-97bd-5a6e0b42094f
summary: "Suraj Sharma outlines a comprehensive 12-stage roadmap for becoming an Agentic AI Engineer within 6 months, covering foundational Python skills through production deployment and open-source contributions. The progression emphasizes practical implementation from LLM fundamentals and tool calling to multi-agent orchestration, human-in-the-loop systems, and security considerations."
tags: "agentic-ai, learning-roadmap, llm-engineering, python, agent-development, production-deployment"
key_entities: "Suraj Sharma (person), Python (technology), FastAPI (technology), LangGraph (technology), CrewAI (technology), Pydantic (technology), LangSmith (technology), Arize (technology), vLLM (technology), SGLang (technology), Kubernetes (technology), Agentic AI Engineering (concept), ReAct loops (concept), Multi-Agent Orchestration (concept)"
classification: "tutorial"
content_hash: "sha256:f938391ced1439aa5cf315ec7833b0f6bf745ccc754beb1950f569c9b9c58db3"
acp_version: "0.2"
token_counts_approximate: 969
visibility: public
agent_accessible: true
status: "final"
---

# Suraj Sharma on Becoming an Agentic AI Engineer

Suraj Sharma @suraj_sharma14 If I had 6 months to become an Agentic AI Engineer. I'd do this. Stage 1: Python + Async Foundations asyncio, FastAPI, event-driven architecture, error handling, API integration patterns. Stage 2: LLM Fundamentals for Agents Context management, model routing, token economics, latency tradeoffs, failure modes. Stage 3: Tool Calling + Structured Outputs Pydantic validation, function calling schemas, error recovery, dynamic tool discovery. Stage 4: Memory + State Management Short-term buffers, long-term vector recall, context compression, cross-session sync. Stage 5: Single Agent Workflows ReAct loops, plan-and-execute, self-reflection, iteration limits, graceful degradation. Stage 6: Multi-Agent Orchestration LangGraph/CrewAI, supervisor patterns, message passing, conflict resolution, handoffs. Stage 7: Human-in-the-Loop Systems Uncertainty detection, approval gates, audit trails, resume logic, intervention points. Stage 8: Evaluation + Quality Assurance Automated eval harnesses, LLM-as-a-judge, regression testing, hallucination metrics. Stage 9: Observability + Tracing Distributed tracing (LangSmith/Arize), cost dashboards, latency monitoring, alerting. Stage 10: Security + Guardrails Prompt injection defense, output filtering, PII redaction, sandboxed execution, compliance. Stage 11: Production Deployment vLLM/SGLang, Kubernetes scaling, CI/CD for agents, canary releases, rollback strategies. Stage 12: Open Source + Portfolio Ship autonomous agents publicly, write architecture docs, record demos, contribute to libs. Most people stay stuck watching tutorials. Builders get hired. (Bookmark it) 12:00 PM · Jun 14, 2026 72K Views :host{display:inline-block;direction:ltr;white-space:nowrap;line-height:var(--number-flow-char-height, 1em) !important}span{display:inline-block}:host([data-will-change]) span{will-change:transform}.number,.digit{padding:round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) 0}.symbol{white-space:pre} 3 1 number-flow-react > span{font-kerning:none;display:inline-block;line-height:var(--number-flow-char-height, 1em) !important;padding:calc(round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) * 2) 0} 31 :host{display:inline-block;direction:ltr;white-space:nowrap;line-height:var(--number-flow-char-height, 1em) !important}span{display:inline-block}:host([data-will-change]) span{will-change:transform}.number,.digit{padding:round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) 0}.symbol{white-space:pre} 1 7 9 number-flow-react > span{font-kerning:none;display:inline-block;line-height:var(--number-flow-char-height, 1em) !important;padding:calc(round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) * 2) 0} 179 :host{display:inline-block;direction:ltr;white-space:nowrap;line-height:var(--number-flow-char-height, 1em) !important}span{display:inline-block}:host([data-will-change]) span{will-change:transform}.number,.digit{padding:round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) 0}.symbol{white-space:pre} 1 . 2 K number-flow-react > span{font-kerning:none;display:inline-block;line-height:var(--number-flow-char-height, 1em) !important;padding:calc(round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) * 2) 0} 1.2K :host{display:inline-block;direction:ltr;white-space:nowrap;line-height:var(--number-flow-char-height, 1em) !important}span{display:inline-block}:host([data-will-change]) span{will-change:transform}.number,.digit{padding:round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) 0}.symbol{white-space:pre} 2 . 7 K number-flow-react > span{font-kerning:none;display:inline-block;line-height:var(--number-flow-char-height, 1em) !important;padding:calc(round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) * 2) 0} 2.7K Read 31 replies