The Role
Design and operate AI backend services, agents, SDKs, MCP servers, and unified inference infrastructure. Manage agent lifecycles, observability, security, guardrails, PII masking, RAG pipelines, vector databases, and context optimization. Support internal engineering teams adopting the platform and continuously improve production systems. The role requires strong Python and FastAPI skills, substantial backend experience, and hands-on experience building agentic AI systems.
Summary Generated by Built In
🚀 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 Required
- 5+ years of backend development experience
- 2+ years of experience working with agentic AI
- Strong command of Python and FastAPI or similar frameworks
- Experience with LangChain, LangGraph, and modern agent-building stacks
- Knowledge of MCP across 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
- Ability to support and enable other developers
- TypeScript
- Kubernetes
- AWS
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The Company
What We Do
Mutt Data is a technology company that helps startups and big companies build and implement Machine Learning & AI solutions that drive real business results. Whether you work in finance, insurance, advertising, telcos, on-demand services or e-commerce, our solutions will help you get ahead of your competition with the latest technologies, techniques and best practices. We Are Astronomer, Amazon, Databricks, GCP and H2O Consulting Partners. We Are #DataNerds
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