Careers at MahaGuardian

MahaGuardian is building the control layer and operator surface for governed AI agents in sensitive professional workflows. These are real product roles in a live codebase, not generic internships.

All three roles are remote, part-time, and paid. We are open to candidates in the United States, the United Kingdom, and the European Union with valid work permits.

Summer 2026 Part-time Remote Live product codebase

Open roles

We are hiring across three specific workstreams: runtime behavior, operator console UX, and trust-boundary / cryptographic review.

AI Agent Runtime Engineer

Python-heavy backend work around execution flow, prompt/runtime grounding, deployment logic, and operator-agent boundaries.

Best for candidates who want to work on agent behavior as a real product system.

AI Console UX / Full-Stack Engineer

Frontend plus Python integration work to make the early MahaGuardian Console usable, legible, and reliable for operators.

Best for candidates who care about UX judgment as much as implementation.

Cryptographic Security Reviewer

Focused review of trust boundaries, scoped credentials, audit integrity, and safety assumptions in a real early codebase.

Best for security-minded candidates who can distinguish real controls from informal safeguards.

AI Agent Runtime Engineer

This role works on the Agent Runtime side of the product: execution flow, prompt/runtime behavior, deployment-related backend logic, and the system boundaries between agents, operator controls, and external actions.

Compensation
$45–$65/hour
Depending on fit, experience, and scope.

Typical work

  • Improving agent execution flow and pass structure.
  • Improving prompt/runtime grounding and output quality.
  • Improving task-vs-chat behavior for productized agents.
  • Improving backend logic around deployment workflows and action safety.
  • Working with Python, tests, and existing runtime modules in an evolving codebase.
  • Shipping small, tested pull requests in a fast iteration loop.

Required

  • Strong Python experience.
  • Ability to work in an existing backend codebase with tests.
  • Familiarity with LLM-backed systems, prompt pipelines, or agent-style workflows.
  • Ability to reason clearly about runtime behavior, failure modes, and system boundaries.
  • Comfort debugging behavior across multiple modules rather than only within one script.

Preferred

  • Experience with backend APIs or orchestration systems.
  • Experience with model/tool integration, prompt design, or evaluation loops.
  • Deployment or systems experience.
  • Startup or research engineering experience.
  • Familiarity with JavaScript is helpful but not required.
Schedule
Part-time
Format
Remote
Location
United States, United Kingdom, or European Union with valid work permits
Timeframe
Summer 2026, starting June 1
Degree level
Undergraduate or graduate
Best fit
Python-heavy backend, LLM-backed systems, and runtime behavior as product engineering.

How to apply

  • Send a resume to alexander@landia.biz.
  • Include GitHub, portfolio, or code/project links.
  • Include one brief example of a Python or backend system you built or maintained.
  • If relevant, include one example involving LLM systems, orchestration, or deployment.
  • Include a short note on your availability over the next 2–4 weeks.

Questions are welcome at alexander@landia.biz.

AI Console UX / Full-Stack Engineer

This role improves the Console’s core interaction model: agent conversation flow, task and artifact history, deployment UX, and operator-facing state management.

Compensation
$40–$60/hour
Depending on fit, experience, and scope.

Typical work

  • Improving center-pane agent interaction and chat/task behavior.
  • Improving artifact/history usability and state behavior.
  • Improving the interactive deployment flow for the first beta server.
  • Fixing product-critical UI/state bugs quickly and safely.
  • Working across frontend and Python backend integration where needed.
  • Shipping small, tested pull requests in a fast iteration loop.

Required

  • Strong JavaScript / TypeScript or equivalent frontend experience.
  • Working Python experience.
  • Ability to read and modify backend application code.
  • Ability to work in an existing codebase with tests.
  • Strong product/UX judgment, not just implementation skill.
  • Ability to debug interactive behavior from screenshots, traces, and observed runtime state.

Preferred

  • FastAPI or similar backend experience.
  • Experience with AI / LLM-backed products.
  • Startup or research engineering experience.
  • Comfort with local development environments and API-key-based tooling.
Schedule
Part-time
Format
Remote
Location
United States, United Kingdom, or European Union with valid work permits
Timeframe
Summer 2026, starting June 1
Degree level
Undergraduate or graduate
Best fit
Frontend + Python backend in an evolving product codebase with real UX judgment.

How to apply

  • Send a resume to alexander@landia.biz.
  • Include GitHub, portfolio, or shipped product links.
  • Include one brief example of a UI or product workflow you designed or implemented.
  • If relevant, include one example involving agent workflows, LLM-backed products, or developer tools.
  • Include a short note on your availability over the next 2–4 weeks.

Questions are welcome at alexander@landia.biz.

Cryptographic Security Reviewer for AI Agent Control

This role assesses the security properties of the current system and helps identify weaknesses in the boundary between agent runtime behavior, scoped credentials, local control surfaces, auditability, and cryptographic trust assumptions.

Compensation
$50–$80/hour
Depending on experience and review scope. In some cases, we may define a short fixed-scope review sprint with possible follow-on work.

Typical work

  • Reviewing Python backend code for security and trust-boundary weaknesses.
  • Reviewing credential handling, state handling, and local control surfaces.
  • Reviewing assumptions around scoped access, replay resistance, and audit integrity.
  • Identifying concrete risks, abuse paths, and misleading safety assumptions.
  • Producing concise findings with severity and recommended fixes.
  • Reviewing whether implemented controls match claimed controls.

Required

  • Strong Python code-reading ability.
  • Strong security engineering judgment.
  • Ability to reason about authentication, authorization, trust boundaries, and misuse paths.
  • Ability to review an existing codebase and produce concrete findings.
  • Comfort reading backend logic, local tooling, and architecture notes together.

Preferred

  • Experience with application security, systems security, or secure software design.
  • Familiarity with cryptographic protocols or capability-style access control.
  • Familiarity with agent/LLM systems is helpful but not required.
  • Experience producing structured code-review or security-review findings.
  • Graduate-level or research-level background is preferred.
Schedule
Part-time, likely lower weekly hours than the implementation roles
Format
Remote
Location
United States, United Kingdom, or European Union with valid work permits
Timeframe
Short initial review sprint, with possible follow-on work
Degree level
Graduate or research-level candidates preferred
Best fit
Reviewers who can distinguish real controls from informal safeguards in a live early architecture.

How to apply

  • Send a resume to alexander@landia.biz.
  • Include GitHub, security-review examples, or code-review artifacts if available.
  • Include one brief example of a security or trust-boundary review you performed.
  • If relevant, include examples involving Python backend systems, authentication/authorization, or cryptographic protocols.
  • Include a short note on your availability over the next 2–4 weeks.

Questions are welcome at alexander@landia.biz.