Software Developer / Engineer
Build, refactor, and test production software applications with AI coding assistants, agentic frameworks, and modern LLM APIs.
Target Outcomes
What you can achieve
Outcome-oriented goals tailored to this role. Launch a guided capability journey to master them step by step.
AI Application Development
Build production software applications integrating foundation models, LLM APIs, prompt orchestration, function calling, and structured JSON outputs.
- Build an AI-Assisted Development Workflow
- Deploy Autonomous RAG & Knowledge Agents
AI Agents & RAG Systems
Architect autonomous agentic workflows, multi-agent systems, and Retrieval-Augmented Generation pipelines connecting LLMs to custom knowledge.
- Deploy Autonomous RAG & Knowledge Agents
Key capabilities & skills
Key capabilities & skills
Essential AI competencies and practical knowledge required for this role.
🧠 AI-Assisted Coding
Using AI coding assistants to write boilerplate, debug errors, explain complex code, generate test suites, and refactor applications.
🧠 LLM Application Development
Building and deploying software applications powered by large language models, AI SDKs, and foundation model APIs.
🧠 RAG & Vector Search
Designing and deploying Retrieval-Augmented Generation architectures, text embeddings, vector databases, and semantic search.
🧠 Agentic Workflows
Architecting autonomous agents and multi-agent systems capable of multi-step planning, memory management, and tool execution.
🧠 Structured Output Design
Techniques for constraining AI outputs to strict structured formats such as JSON schemas, tables, and function definitions.
Curated learning resources
Curated learning resources
Structured learning paths, verified courses, and practical guides matched to this role.
🧭 Recommended Learning Paths
AI Automation Expert Learning Path
A practical roadmap for designing reliable AI-assisted automations, integrations, and multi-step workflows.
AI Developer Learning Path
A practical roadmap for learning AI application development from foundational concepts to portfolio projects.
AI Researcher Learning Path
A practical roadmap for AI-assisted research, literature discovery, evidence evaluation, synthesis, and research documentation.
Prompt Engineer Learning Path
A practical roadmap for learning prompt design, testing, evaluation, and reusable AI workflow development.
🎓 Core Courses
Agentic AI Engineering with LangChain & LangGraph
Udemy
Build AI agents and agentic systems with LangChain, LangGraph, RAG, tools and MCP.
AI A-Z [2026]: Agentic AI, Gen AI, Prompt Engineering and RL
Udemy
A broad AI course covering agentic AI, generative AI, prompt engineering, reinforcement learning, Python and AWS.
AI Agent Fundamentals
DataCamp
Learn the foundations of AI agents, reasoning, tools and agentic workflows.
📖 Practical Guides
AI Agents Explained: From Chatbots to Autonomous Workflows
Distinguish chatbots, assistants, AI agents, agentic AI, autonomous agents, and multi-agent systems, then evaluate when agency is useful.
AI Engineer Learning Roadmap
A project-based roadmap from Python and APIs through ML foundations, LLMs, RAG, agents, evaluation, and deployment concepts.
How to Build a Production RAG Knowledge Base with Vector Databases
A comprehensive developer guide to building a production-grade Retrieval-Augmented Generation (RAG) system with document chunking, vector embeddings, and Pinecone.
Verified tools & software stack
Verified tools & software stack
Specialized AI software and platforms connected to this role's workflows.
Adobe Firefly
Adobe's family of generative AI models designed to empower creators to generate high-quality images and text effects from simple prompts.
Provider: Adobe
Amazon Q Developer
An AI-powered development assistant that helps developers build, debug, and operate applications on AWS.
Provider: Amazon Web Services
Blackbox AI
Blackbox AI is a coding assistant for drafting and explaining code, searching repository material, and supporting editor-based implementation work.
Provider: Blackbox AI
Bolt.new
Bolt.new turns a plain-language product brief into an editable JavaScript web application that runs, previews, and deploys from a browser-based workspace.
Provider: StackBlitz
Canva AI
Canva AI places generation and assisted editing inside Canva’s template editor, helping non-specialists move from a prompt or asset to a formatted visual deliverable.
Provider: Canva
Codeium
Codeium provides lightning-fast AI autocomplete and an intelligent chat interface to help developers write, debug, and refactor code efficiently.
Provider: Exafunction
Practical workflows & deliverables
Practical workflows & deliverables
End-to-end execution recipes to produce tangible, high-quality results.
AI-Assisted Feature Development Lifecycle
Accelerate software engineering by combining AI coding assistants, automated test generation, and intelligent refactoring into your IDE.
A fully implemented, tested, and documented software module completed in a fraction of traditional delivery time.
Evolve from inline code assistance to autonomous agents that execute multi-file refactoring independently.
→ Master LangChain and LangGraph to build multi-agent engineering workflows.
Custom Knowledge RAG Agent Deployment
Architect and deploy an autonomous Retrieval-Augmented Generation agent connected to custom documents and tools.
A deployed, tool-enabled AI agent connected to proprietary knowledge with high retrieval precision.
Coordinate teams of specialized agents with shared memory to tackle complex end-to-end tasks.
→ Explore Multi-Agent Systems to orchestrate collaborative agent teams.
AI Web Application Prototyping Pipeline
Rapidly transform product requirements and user stories into interactive, working full-stack web application prototypes using generative UI and AI coding environments.
A functional, responsive web application prototype ready for user testing, stakeholder demos, and production engineering handoff.
Transition from prototype scaffolding to full production LLM application development with persistent databases and authentication.
→ Advance to AI Application Development to connect real LLM APIs and backend services to your prototype.