SkillHack › Career guides
50 AI careers, each with a free roadmap
“AI” is not one job. Every path below has an authored roadmap: phases of topics, a study note and real reading on each, and graded practice questions that unlock as you pass the topic before. Pick the one closest to the job you already do.
- 50career paths
- 754roadmap topics
- 2485graded practice questions
- Freeno payment, ever
Every path
Agent Engineer
Multi-agent architectures, orchestration, tool design, and agent reliability. Build agent systems that plan, act, and recover on their own.
5 phases · 103 practice questions
AI Alignment Researcher
Training methods, oversight, and alignment evaluations. Make advanced AI pursue the goals we intend.
5 phases · 105 practice questions
AI Automation Engineer
Agents, tool integration, and workflow orchestration. Turn multi-step business processes into automated flows.
5 phases · 18 practice questions
AI Data Engineer
Ingestion pipelines, embeddings, vector stores, and data quality for training and retrieval. Feed AI systems clean, fresh, well-shaped data.
5 phases · 92 practice questions
AI Developer Advocate
Docs, sample apps, talks, and community feedback loops. Help developers build with AI and carry their voice back to the product.
5 phases · 17 practice questions
AI Engineer
Prompt and context design, tools, retrieval, orchestration, evaluation, and structured output. Build reliable agent apps end to end.
5 phases · 60 practice questions
AI Evals Engineer
Benchmark design, LLM-as-judge, regression suites, and quality metrics. Measure what models actually do before and after every change.
5 phases · 77 practice questions
AI for Science Engineer
Modeling in biology, chemistry, physics, and materials, plus research tooling. Apply AI to scientific discovery.
5 phases · 15 practice questions
AI Governance Analyst
Regulatory compliance, model cards, risk frameworks, and audit trails. Keep AI systems accountable and inside the rules.
5 phases · 80 practice questions
AI Infrastructure Engineer
Data pipelines, infrastructure, deployment, observability, and cost control. Keep data, infra, and models reliable and cost-aware.
5 phases · 87 practice questions
AI Integration Engineer
APIs, enterprise systems, legacy migration, and AI-feature rollout. Wire AI capabilities into the software businesses already run.
5 phases · 82 practice questions
AI Platform Engineer
Internal SDKs, model gateways, routing, and guardrail infrastructure. Build the platform every team ships AI on.
5 phases · 17 practice questions
AI Policy Analyst
Regulation, standards, risk, and societal impact. Translate AI policy into what teams must actually build.
5 phases · 17 practice questions
AI Product Manager
Product scoping, model capability awareness, eval-driven decisions, and AI UX trade-offs. Decide what to build and prove it works.
5 phases · 81 practice questions
AI Program Manager
Scoping, sequencing, risk, and cross-team coordination. Drive AI initiatives from research to launch.
5 phases · 19 practice questions
AI Quality Engineer
Behavioral test suites, regression and red-team checks, and release gates. Test AI products that never give the same answer twice.
5 phases · 15 practice questions
AI Red Team Specialist
Jailbreaks, adversarial testing, misuse probing, and vulnerability reporting. Attack AI systems before real adversaries do.
5 phases · 77 practice questions
AI Reliability Engineer
Uptime, fallbacks, guardrails, and incident response for AI in production. Keep AI features fast, safe, and available.
5 phases · 81 practice questions
AI Research Engineer
Training runs, fine-tuning, experiment infrastructure, and paper-to-production. Turn research ideas into working, measured models.
5 phases · 76 practice questions
AI Research Scientist
Novel architectures, training methods, scaling laws, and publication. Push the frontier of what models can do.
5 phases · 75 practice questions
AI Safety Engineer
Risk analysis, red teaming, privacy, policy, evaluation design, and monitoring. Probe, evaluate, and govern AI systems.
5 phases · 93 practice questions
AI Security Engineer
Prompt injection defense, model supply chain, data leakage, and access control. Secure AI systems end to end.
5 phases · 74 practice questions
AI Solutions Architect
System design, model selection, build-vs-buy, and scaling and cost. Architect enterprise AI solutions that hold up in production.
5 phases · 79 practice questions
AI Strategist
Opportunity sizing, build-vs-buy, and adoption strategy. Decide where AI creates real business value.
5 phases · 16 practice questions
AI Systems Engineer
GPUs, distributed training, kernels, and memory and throughput optimization. Make large models train and serve fast.
5 phases · 77 practice questions
AI UX Designer
Human-AI interaction patterns, trust, uncertainty, and feedback loops. Design interfaces where people and models work well together.
5 phases · 78 practice questions
Analytics Engineer
Data modeling, transformation pipelines, metrics, and data quality. Turn raw data into trusted datasets teams can build on.
5 phases · 15 practice questions
Applied Scientist
Model adaptation, evaluation, and prototyping against real product problems. Take research from paper to production.
5 phases · 75 practice questions
Computer Vision Engineer
Image and video models, VLMs, detection, and visual inspection. Ship systems that see and understand the world.
5 phases · 75 practice questions
Context Engineer
Context windows, memory systems, retrieval strategy, and token budgeting. Get the right information in front of the model every time.
5 phases · 81 practice questions
Conversational AI Designer
Dialog flows, persona design, voice and chat UX, and escalation paths. Craft conversations people actually want to have.
5 phases · 77 practice questions
Data Scientist
Experiment design, statistics, causal inference, and modeling. Turn data into decisions and explain why.
5 phases · 17 practice questions
Edge AI Engineer
On-device models, quantization for mobile and embedded, and offline inference. Run AI where the cloud can't reach.
5 phases · 49 practice questions
Forward-Deployed Engineer
Workflow discovery, ambiguous requirements, agent-solution scoping, and deployment planning. Turn vague customer asks into scoped, shippable agent solutions.
5 phases · 91 practice questions
Generative Media Engineer
Image, video, audio, and 3D generation - pipelines, controllability, and creative tooling. Build the systems behind generative media.
5 phases · 15 practice questions
Inference Optimization Engineer
Quantization, distillation, serving performance, and latency and cost control. Make models fast and affordable at scale.
5 phases · 77 practice questions
Interpretability Researcher
Features, circuits, probing, and mechanistic analysis. Explain what is actually happening inside a model.
5 phases · 75 practice questions
Knowledge Engineer (RAG)
Knowledge bases, embeddings, vector search, and graph RAG. Ground model answers in the right source of truth.
5 phases · 17 practice questions
LLMOps Engineer
Prompt and version management, evaluation gates, and cost and latency monitoring. Keep LLM applications reliable through every model and prompt change.
5 phases · 17 practice questions
ML Engineer
Model selection, training and evaluation, experimentation, and statistical reasoning about the models you ship.
5 phases · 27 practice questions
MLOps Engineer
Model CI/CD, registries, monitoring, and drift detection. Keep the path from training to production repeatable and observed.
5 phases · 17 practice questions
Multimodal AI Engineer
Text, image, audio, and video together - fusion, cross-modal retrieval, and multimodal integration. Build AI that sees, hears, and reads at once.
5 phases · 75 practice questions
NLP Engineer
Text pipelines, classification, extraction, and multilingual systems. Build the language layer of AI products.
5 phases · 17 practice questions
Post-Training Engineer
Fine-tuning, RLHF, alignment tuning, and model specialization. Shape base models into products with the behavior you need.
5 phases · 75 practice questions
Prompt Engineer
Prompt design, context engineering, and eval-driven iteration. Get reliable, repeatable behavior out of frontier models.
5 phases · 15 practice questions
Recommender Systems Engineer
Candidate generation, ranking models, embeddings, and feedback loops. Personalize what every user sees at scale.
5 phases · 16 practice questions
Robotics / Embodied AI Engineer
Perception, control, simulation, and vision-language-action models. Put AI to work in the physical world.
5 phases · 16 practice questions
Search & Ranking Engineer
Classic information retrieval, neural retrieval, and LLM re-ranking. Return the right result first, at scale.
5 phases · 17 practice questions
Synthetic Data Engineer
Data generation, augmentation, and privacy-preserving datasets. Manufacture the data real-world collection can't provide.
5 phases · 16 practice questions
Voice AI Engineer
Speech recognition, text-to-speech, voice agents, and real-time audio. Build AI you can talk to.
5 phases · 15 practice questions
Start the AI path for free
The full study notes, the reading, and the practice questions behind every topic above are in the app. Answer one tonight and you have started.
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