Programs
Choose your path
One membership opens every path on MissionStack. The Forward
Deployed Engineer path is complete and available today; the rest are what we build
next, and they are included while your membership is active.
AVAILABLE NOW
Forward Deployed Engineer
Learn to investigate ambiguous client problems, architect an AI
solution, build it under real constraints, and keep it standing when production
pushes back. Twenty client deployments, each one a different industry with its own
rules, budgets and ways of failing.
3 levels20 missions
20 field exams60 concepts
40 hands-on drills
Start free mission ->
All 20 missions
Every mission is a different company with a different problem.
Mission 01 is free and complete — the whole flow, start to finish, before you pay
anything.
Coming to MissionStack
None of these exist yet. They are the paths we intend to
build next, with no date attached — so a membership today does not give you access
to them. What it does give you is this: when one of them ships, it is included at
no extra cost while your membership is active.
PLANNED
Agentic AI Engineer
Design systems where several agents coordinate tools, data and decisions —
and keep working when one of them fails.
- Multi-agent architecture
- Tool orchestration
- Memory and state
- Human-in-the-loop control
- Failure recovery
- Agent evaluations
NOT AVAILABLE YET · INCLUDED WHEN IT SHIPS
PLANNED
Production LLM Engineer
Build LLM infrastructure that is fast enough, cheap enough and observable
enough to run a business on.
- Retrieval
- Model routing
- Inference
- Caching
- Cost control
- Observability
NOT AVAILABLE YET · INCLUDED WHEN IT SHIPS
PLANNED
AI Reliability Engineer
Evaluate, monitor and defend AI systems that are already carrying real
traffic and real consequences.
- Evaluations
- Guardrails
- Red teaming
- Monitoring
- Incident response
- Quality systems
NOT AVAILABLE YET · INCLUDED WHEN IT SHIPS
One membership, every path
$39 a month or $349 a year. Mission 01 is free forever, and you
can cancel whenever you like.