#10 Backend Platform Engineer Senior (Python/FastAPI)

Muttdata
Buenos Aires, Argentina
Hybrid

Who this role is best for

Aimed at experienced Python engineers with platform team background who are comfortable with agentic AI and observability tools.

Best fit for

  • Experienced Python developers with a background in platform engineering and agentic AI integration
    β€” β€œ5+ years of experience with Python and strong command of its best practices”
  • Candidates adept at working with observability and MCP servers in a remote-first environment
    β€” β€œHybrid work model.”
  • Individuals who have worked on full-stack systems and are familiar with both frontend and backend workflows
    β€” β€œCollaborate across the full stack (frontend, backend, and AI).”

Things to consider

  • Candidates must be prepared to work with agentic AI and observability tools, which may demand specialized knowledge
    β€” β€œIntegrate the platform with agentic AI services.”

How to stand out

  • Highlight experience with FastAPI, agentic AI, and observability in your resume and interview responses
    β€” β€œAdvanced knowledge of FastAPI or similar frameworks.”
  • Demonstrate hands-on experience with MCP server development and lifecycle management
    β€” β€œDevelop and manage MCP servers throughout their entire lifecycle.”
Pace Β· SteadyCollaboration Β· HighAutonomy Β· MediumDecision Impact Β· Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design and develop backend services with FastAPI
  • integrate the platform with agentic AI services
  • maintain the platform for agentic models
Typical background
5+ years of experience with Python and strong command of its best practices

Skills & requirements

Required

PythonFastapiRelational And Non-relational DatabasesAgentic AI ServicesObservabilityMCP DevelopmentAuthentication And Security Practices

Preferred

ReactTypeScript

Stack & domain

PythonFastapiRelational And Non-relational DatabasesAuthentication And Security PracticesAgentic AI ServicesObservabilityMCP ServersCloudLangchainLanggraphData EngineeringMachine LearningDemand PlanningBudget ForecastingGenerative AIVisual RecognitionAutomationRecommendation ModelsE-commerceStreamingDigital PlatformsEngagementConversionsProblem SolvingCollaborationContinuous LearningCuriosityDriveOwnershipPositive Mindset

About the role

Original posting from Muttdata via Lever

πŸš€ Join Our Remote Data Products & Machine Learning Startup! πŸš€

At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.

We are looking for a Backend Platform EngineerΒ  to join our teamΒ  and work within the AI Platform team of a large-scale organizationπŸΆπŸš€

This team maintains the backend platform behind the organization's AI models and agents, including the services that integrate with agentic AI, observability, and MCP servers.Β  Hybrid work model.

πŸš€ What We Do:

  • Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
  • Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
  • Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
  • Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
  • Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
  • Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

🌟 Our Partnerships:

  • Amazon Web Services
  • Astronomer
  • Databricks

🌟 Our Values:

  • πŸ“Š We are Data Nerds
  • πŸ€— We are Open Team Players
  • πŸš€ We Take Ownership
  • 🌟 We Have a Positive Mindset

πŸ” Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! πŸš€

Responsibilities πŸ€“:

  • Design and develop backend services with FastAPI.
  • Integrate the platform with agentic AI services.
  • Maintain the platform for agentic models, including its observability.
  • Develop and manage MCP servers throughout their entire lifecycle.
  • Design and operate relational and non-relational databases.
  • Apply good authentication and security practices.
  • Collaborate across the full stack (frontend, backend, and AI).

Required Skills πŸ’»:

  • 5+ years of experience with Python and strong command of its best practices.
  • Advanced knowledge of FastAPI or similar frameworks.
  • Experience with relational and non-relational databases.
  • Knowledge of platforms for agentic models and of observability.
  • Knowledge of MCP development and lifecycle.
  • Familiarity with LangChain and LangGraph.
  • Experience integrating agentic AI services.
  • Basic knowledge of cloud.
  • Experience working in platform teams.
  • Good authentication and security practices.
  • Curiosity, a drive to stay up to date, and willingness to work across the full stack.
  • Stack: Python, FastAPI, LangChain, LangGraph, MCP, relational and non-relational databases, Cloud.

Nice to have πŸ’»:

  • React and TypeScript.

🎁 Perks:

  • 🌍 Remote-first culture – work from anywhere!
  • πŸš€Β In-Company English Lessons.
  • πŸ’ͺ Wellhub or sports club stipend to stay active
  • πŸš€ AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • πŸ• Food credits via Pedidos Ya – because great work deserves great food.
  • πŸŽ‚ Birthday off + an extra vacation week (Mutt Week! πŸ–οΈ)
  • 🀝 Referral bonuses – help us grow the team & get rewarded!
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
  • πŸ‘Ά Monthly Childcare ReimbursementΒ  – Because supporting families matters too

Source: Muttdata careers (Lever)

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