Software Engineer to AI Engineer: Job Boards, Stack, Projects and Learning Sites

Bashiri Smith · Facebook reel · 2026-09-14 · 0:10 · 10,627 views · Open on Facebook

Topics: Resume, Job Search & Interviews, Portfolio Projects, Start Here: Roadmaps & Strategy · Level: intermediate

Summary

A quick checklist for software engineers moving into AI engineering. It covers where to find AI jobs, which tech stack to learn (Python, LangChain, PyTorch, FastAPI), five portfolio projects you can explain in an interview, where to learn the skills, and how to keep up with research. The main advice is to pick one project, go deep on it, and be ready to explain your trade-offs between quality, cost, latency and reliability.

Key points

• Job boards for AI engineering roles: Hiring Cafe, Welcome to the Jungle, Wellfound and YC Jobs.
• Core tech stack: Python, LangChain, PyTorch and FastAPI.
• Five suggested projects: Knowledge Graph RAG over enterprise data, a multi-agent research assistant, a self-healing LLM gateway, LLM-as-judge evals calibrated against human scores, and a model distillation pipeline.
• Places to learn the skills: DeepLearning.AI, Hugging Face and the creator's Skool community (BASWE.Ai Engineer).
• To stay current, follow engineers and researchers on X and look up the papers they discuss on arXiv.org.
• Pick one project and go deep: deploy it, measure where it fails, and write down what you changed.
• Be ready to explain your decisions on quality, cost, latency and reliability. That gives you a concrete answer when a hiring manager asks 'What have you actually built?'

Resources mentioned

• HiringCafe · website · hiringcafe.com · free
  Job search site that collects job listings, useful for finding AI engineering roles.
• Welcome to the Jungle · website · welcometothejungle.com · free
  Job board and company-profile site for tech and startup roles.
• Wellfound · website · wellfound.com · free
  Startup job platform (formerly AngelList Talent) for finding roles at startups.
• YC Jobs (Y Combinator Work at a Startup) · website · ycombinator.com · free
  Job listings at Y Combinator-backed startups.
• Python · tool · python.org · free · recommended by both Bashiri Smith & Melvin Vivas
  A programming language that comes preinstalled on Droplets created by the plugin.
  Also in: Step-by-Step Roadmap to a $200K+ AI Engineering Role (Bashiri Smith on Facebook · notes), Run Codex in the Cloud: Spin Up DigitalOcean Droplets with the Codex Plugin (Melvin Vivas on X · notes)
• LangChain · tool · github.com · free · recommended by both Bashiri Smith & Melvin Vivas
  Open-source framework with ready-made integrations and common interfaces for connecting LLMs, embedding models, vector stores and tools.
  Also in: SWE-to-AI Engineer Plan for 2027: LLMs, RAG, Agents, Evals, Job Search (Bashiri Smith on Facebook · notes), Basic RAG Pipeline in 60 Seconds: From Documents to Grounded Answers (Bashiri Smith on Facebook · notes), Step-by-Step Roadmap to a $200K+ AI Engineering Role (Bashiri Smith on Facebook · notes), LangChain vs. LangGraph Explained with One RAG Chatbot (Bashiri Smith on Facebook · notes) and 3 more
• PyTorch · tool · pytorch.org · free · recommended by both Bashiri Smith & Melvin Vivas
  Deep-learning framework. Its built-in scaled dot-product attention (SDP) was the baseline in this benchmark.
  Also in: Step-by-Step Roadmap to a $200K+ AI Engineering Role (Bashiri Smith on Facebook · notes), Wannabe vs $200K+ AI Engineer: RAG, Agents, Context and Fine-Tuning Mistakes (Bashiri Smith on Facebook · notes), AI DevBox v1.3.0: a GPU-ready Docker image with coding-agent CLIs (Melvin Vivas on X · notes), Docker image with coding agents pre-installed on a CUDA + PyTorch base (Melvin Vivas on X · notes) and 5 more
• FastAPI · tool · fastapi.tiangolo.com · free
  Wrap your models as real inference APIs.
  Also in: Step-by-Step Roadmap to a $200K+ AI Engineering Role (Bashiri Smith on Facebook · notes), 8-Week Roadmap to a $200K+ AI Engineering Role (Bashiri Smith on Facebook · notes), AI Engineer Roadmap for 2026 in 60 Seconds (Bashiri Smith on Facebook · notes), AI Engineer Roadmap: Fundamentals, RAG, Agents, Books & Your First AI Service (Bashiri Smith on Facebook · notes)
• DeepLearning.AI · website · deeplearning.ai · free
  The gold-standard ML fundamentals course; you can audit it for free.
  Also in: How to Relearn LLMs & RAG in 2026: A 7-Step Roadmap with Free Resources (Bashiri Smith on Facebook · notes), 90-Day Plan to Land an AI Engineering Job: Benchmark, Learn, Build (Bashiri Smith on Facebook · notes)
• Hugging Face · website · x.com · free · recommended by both Bashiri Smith & Melvin Vivas
  Platform for hosting and finding ML models, datasets and papers. The quoted post says LocateAnything was trending there.
  Also in: Using an ML agent to train an open-source TTS model on your voice (Melvin Vivas on X · notes), Deploy Open-Source Models with Hugging Face Inference Endpoints (Melvin Vivas on X · notes), Deploying Qwen3.8 27B on Hugging Face Inference Endpoints (Melvin Vivas on X · notes), Using Hugging Face credits: Jobs, Inference Endpoints and Open Models (Melvin Vivas on X · notes) and 38 more
• BASWE.Ai Engineer (Skool community) · community · skool.com · paid
  The creator's paid community and program, with an AI learning roadmap (including the full ops and evaluation track), daily calls with engineers and recruiters, resume and portfolio help, and a job-search pipeline.
  Also in: Basic RAG Pipeline in 60 Seconds: From Documents to Grounded Answers (Bashiri Smith on Facebook · notes), Pointer to Bashiri Smith's Complete AI Engineer Roadmap for 2026 (Bashiri Smith on Facebook · notes), Step-by-Step Roadmap to a $200K+ AI Engineering Role (Bashiri Smith on Facebook · notes), How to Evaluate a RAG Pipeline: Retrieval vs. Generation (Interview Answer) (Bashiri Smith on Facebook · notes) and 76 more
• X (Twitter) · website · x.com · free
  Social network where you can follow AI engineers and researchers to keep up with the field.
  Also in: Using the September Hiring Surge: Volume Plus Quality in Your Job Search (Bashiri Smith on Facebook · notes)
• arXiv · website · arxiv.org · free · recommended by both Bashiri Smith & Melvin Vivas
  A free archive of research preprints, with daily listings of new papers in fields like Artificial Intelligence, Machine Learning, and Computational Engineering, Finance, and Science.
  Also in: 7 Habits to Become an AI Engineer: Books, Tooling, Research & Shipping (Bashiri Smith on Facebook · notes), Generate Job-Worthy AI Project Ideas from Recent Research Papers + ChatGPT (Bashiri Smith on Facebook · notes), The complete arXiv corpus as a Hugging Face dataset (Melvin Vivas on X · notes), Red Flags That Hurt Your Chances of Landing an AI-Era Coding Job (Bashiri Smith on Facebook · notes)
• The Complete AI Engineer Roadmap for 2026 (Exact Courses + Step-by-Step) · video · youtube.com · free
  Bashiri Smith's free YouTube training on upgrading your skills and becoming competitive for AI engineering roles, with specific courses listed step by step.
  Also in: SWE-to-AI Engineer Plan for 2027: LLMs, RAG, Agents, Evals, Job Search (Bashiri Smith on Facebook · notes), Pointer to Bashiri Smith's Complete AI Engineer Roadmap for 2026 (Bashiri Smith on Facebook · notes), Step-by-Step Roadmap to a $200K+ AI Engineering Role (Bashiri Smith on Facebook · notes), Software Engineer to AI Engineer Before 2027: A 5-Step Career Plan (Bashiri Smith on Facebook · notes) and 19 more

Try this

• Look for AI engineering roles on Hiring Cafe, Welcome to the Jungle, Wellfound and YC Jobs.
• Learn Python, LangChain, PyTorch and FastAPI.
• Pick one of the suggested projects and go deep on it.
• Deploy the project, measure where it fails, and document what you changed.
• Prepare to explain your decisions on quality, cost, latency and reliability in interviews.
• Learn the skills on DeepLearning.AI and Hugging Face.
• Follow AI engineers and researchers on X and read the related papers on arXiv.org.
• Watch the full AI engineer roadmap video (or comment 'roadmap').
• Knowledge Graph RAG for enterprise data
• Multi-agent research assistant
• Self-healing LLM gateway
• LLM-as-judge evaluations calibrated against human scores
• Model distillation pipeline