#9 AI Backend Engineer Senior

Muttdata
Buenos Aires, Argentina
Hybrid

Who this role is best for

Experienced Python backend engineers with agentic AI expertise will find this hybrid role in a remote-first startup focused on building internal platforms for AI agents.

Best fit for

  • Candidates with 5+ years of backend experience and a background in agentic AI development
    — “5+ years of backend development experience and 2+ years working with agentic AI.”
  • Individuals who have built and maintained SDKs for internal use
    — “Build and maintain cross-team SDKs.”
  • Professionals familiar with vector databases and RAG pipelines in production settings
    — “Build and optimize RAG pipelines, vector databases, and context management.”

Things to consider

  • Hybrid work model may require periodic in-person collaboration despite remote flexibility
    — “Hybrid work model.”
  • This role demands a product mindset for internal tools, not just technical skills
    — “product mindset for internal platforms.”

How to stand out

  • Highlight your experience with LangChain and LangGraph in platform development
    — “Design and develop backend services and agents using LangChain and LangGraph.”
  • Emphasize your ability to support other engineers in adopting internal tools
    — “Support the teams that consume the platform, helping them adopt it and unblocking them along the way.”
  • Showcase your familiarity with MCP servers and their full lifecycle
    — “Solid knowledge of MCP across its full lifecycle (development, publishing, and authentication).”
  • Demonstrate your ability to unify inference through proxies like LiteLLM
    — “Unify agent inference through LiteLLM or a similar proxy.”
  • Demonstrate expertise in implementing security features like PII masking
    — “Implement guardrails, PII masking, and Agent Skills.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

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

What success looks like

  • Developed scalable backend services for AI agents
  • Improved agent lifecycle management
  • Built and maintained cross-team SDKs
Typical background
5+ years of backend development experience2+ years working with agentic AI

Skills & requirements

Required

PythonFastapiLangchainLanggraphMCPLitellmVector DatabasesRAGContext ManagementBackend DevelopmentAgentic AI

Preferred

TypeScript

Stack & domain

PythonFastapiLangchainLanggraphLangfuseMCPLitellmVector DatabasesRAGContext ManagementGuardrailsPII MaskingAgent SkillsOwnershipClear CommunicationSupporting And Enabling Other EngineersData ProductsMachine LearningDemand PlanningBudget ForecastingData EngineeringCustom Ai SolutionsGenerative AiVisual RecognitionAutomationRecommendation ModelsEcommerceStreamingDigital Platforms

About the role

Original posting from Muttdata via Lever

🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀

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 an AI Backend Engineer Senior to join our team  and work within the AI Platform team of a large-scale organization. 🐶🚀

This team builds the platform other teams use to create AI agents: SDKs, backend services, MCP servers, and a unified inference layer. Your users are other developers, so part of the job is supporting them through adoption.

This role requires strong Python backend skills, hands-on experience building and running agents in production, and a product mindset for internal platforms. Ownership, clear communication, and the ability to support and enable other engineers are essential to succeed in this fast-paced, collaborative environment. Hybrid work model.

🚀 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:

  • 📊 We are Data Nerds
  • 🤗 We are Open Team Players
  • 🚀 We Take Ownership
  • 🌟 We Have a Positive Mindset

🔍 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! 🚀

Responsibilities 🤓:

  • Design and develop backend services and agents using LangChain and LangGraph.
  • Manage the agent lifecycle, from development and deployment to observability, monitoring, and continuous improvement.
  • Build and maintain cross-team SDKs.
  • Develop, publish, and secure MCP servers, including their authentication.
  • Unify agent inference through LiteLLM or a similar proxy.
  • Implement guardrails, PII masking, and Agent Skills.
  • Build and optimize RAG pipelines, vector databases, and context management.
  • Support the teams that consume the platform, helping them adopt it and unblocking them along the way.

Required Skills 💻:

  • 5+ years of backend development experience and 2+ years working with agentic AI.
  • Strong command of Python and FastAPI (or similar frameworks).
  • Experience with LangChain, LangGraph, and modern agent-building stacks.
  • Solid knowledge of MCP across its full lifecycle (development, publishing, and authentication).
  • Experience with LiteLLM or similar proxies.
  • Experience with vector databases, RAG, and context optimization.
  • Knowledge of guardrails, PII masking, and Agent Skills.
  • Experience building and maintaining SDKs.
  • Ease supporting other developers.
  • Stack: Python, FastAPI, LangChain, LangGraph, Langfuse, MCP, LiteLLM.

Nice to have 💻:

  • TypeScript.
  • Kubernetes.
  • AWS.

🎁 Perks:

  • 🌍 Remote-first culture – work from anywhere!
  • 🚀 In-Company English Lessons.
  • 💪 Wellhub or sports club stipend to stay active
  • 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • 🍕 Food credits via Pedidos Ya – because great work deserves great food.
  • 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)
  • 🤝 Referral bonuses – help us grow the team & get rewarded!
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
  • 👶 Monthly Childcare Reimbursement  – Because supporting families matters too

Source: Muttdata careers (Lever)

Similar roles