Skip to main content

MCP & Tools Python Developer - Agent Evaluation Infrastructure

Expired
This role has expired and is no longer accepting applications. Browse similar roles →
Mindrift
NSW, VIC, QLD
remote
Part Time
$79,040 per yr

Apply for this job

Posted 7 months ago
This role is expired

These roles are hiring now

View all AI roles →

Lead AI Enablement Scientist

Resmed
Sydney, NSW
hybrid
  • Enable AI/ML products via data discovery, assessment & labelling strategy
  • PhD with 3+ years or Master's with 7+ years in data science/engineering
  • Python, SQL, AWS, Snowflake, time-series data, signal processing
Posted 3d ago

Data Consultant (12-month Fixed term Contract)

NAB
Sydney, NSW | Brisbane, QLD | Melbourne, VIC
hybrid
  • Fraud analytics: develop models, rules & insights for fraud prevention
  • Extensive data science/analytics experience in financial services (fraud focus)
  • Statistical techniques, modelling tools, fraud typologies, large datasets
Posted 2d ago

AI Engineer

Stake
Sydney, NSW
hybrid
  • Build AI-powered products and production-grade generative AI systems on GCP
  • Experienced in deploying AI products at scale
  • Python, GCP, generative AI, RAG, AI infrastructure, product engineering
Posted 3d ago

Data & AI Capability Lead

Department of Veterans' Affairs
Adelaide, SA | Brisbane, QLD | Canberra, ACT | Hobart, TAS | Melbourne, VIC | Sydney, NSW
hybrid
$131,960 - $144,908 per yr
  • Drive data & AI strategy, capability development and digital transformation
  • Executive Level 1 (EL1) experience required
  • AI adoption, data governance, capability uplift, stakeholder engagement
Posted 5d ago
Description
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.

At , innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI. 

The Mindrift platform, launched and powered by , connects domain experts with cutting-edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real-world expertise from across the globe.

We’re on the hunt for hands-on Python engineers for a new project focused on developing Model Context Protocol (MCP) servers and internal tools for running and evaluating agent behavior. You’ll implement base methods for agent action verification, integrate with internal and client infrastructures, and help fill tooling gaps across the team.

Who we're looking for:

Calling all security researchers, engineers, and penetration testers with a strong foundation in problem-solving, offensive security, and AI-related risk assessment.

We’re looking for someone who can bring a hands-on approach to technical challenges, whether breaking into systems to expose weaknesses or building secure tools and processes. We value contributors with a passion for continuous learning, experimentation, and adaptability.

What you’ll be doing:

  • Developing and maintaining MCP-compatible evaluation servers
  • Implementing logic to check agent actions against scenario definitions
  • Creating or extending tools that writers and QAs use to test agents
  • Working closely with infrastructure engineers to ensure compatibility
  • Occasionally helping with test writing or debug sessions when needed


Although we’re only looking for experts for this current project, contributors with consistent high-quality submissions may receive an invitation for ongoing collaboration across future projects. 
Requirements
  • 4+ years of Python development experience, ideally in backend or tools
  • Solid experience building APIs, testing frameworks, or protocol-based interfaces
  • Understanding of Docker, Linux CLI, and HTTP-based communication
  • Ability to integrate new tools into existing infrastructures
  • Familiarity with how LLM agents are prompted, executed, and evaluated
  • Clear documentation and communication skills - you’ll work with QA and writers


We also value applicants who have:

  • Experience with Model Context Protocol (MCP) or similar structured agent-server interfaces
  • Knowledge of FastAPI or similar async web frameworks
  • Experience working with LLM logs, scoring functions, or sandbox environments
  • Ability to support dev environments (devcontainers, CI configs, linters)
  • JS experience


Benefits

  • Get paid for your expertise, with rates that can go up to $38/hour depending on your skills, experience, and project needs.
  • Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments.
  • Participate in an advanced AI project and gain valuable experience to enhance your portfolio.
  • Influence how future AI models understand and communicate in your field of expertise.