#9 AI Backend Engineer Senior
Posted Updated 7
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Summary
Builds the backend of a large organization's internal AI platform that other developer teams use to create AI agents: Python/FastAPI services, cross-team SDKs, MCP servers, a unified LiteLLM inference layer, and RAG pipelines, plus supporting developer adoption. Requires 5+ years backend and 2+ years agentic AI experience.
🚀 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 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
Skills
As published by lever · 10 questions · 8 written answers
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Other URL
Pick from a list (2)
- Where did you hear about us? optional
- English Level
Written answers (8)
- Tell us about something you built for other developers to use, such as a library, an SDK, an agent template, or an MCP server. How many teams used it, and how did you support them?
- Tell us about an agent you took to production. What did you build it with, and how did you find out when it answered badly?
- Have you built your own MCP server? Who connected to it, and how did you control who could use each tool?
- Which models were you working with, and what had to change to move from one provider to another?
- How did you prevent an agent from exposing customers' personal data?
- Study/Degree optional
- Gross salary expectations (ARS)
- The position requires coming into the office once a week; do you live in Buenos Aires? This is a mandatory requirement for the role