AI Engineer

🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀

We are looking for a hands-on Agentic AI DevOps Specialist to join a strategic initiative focused on developing, deploying and operating an Agentic AI platform, which features an Internal Developer Platform (IDP) centered on Agentic AI development. The platform should enable developer self-service of provisioned infrastructure, code, prompts and skills primitives through standardised, simplified and governed paths. .

🚀 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 🤓

The role is expected to be able to develop, deploy, maintain, operate and support an Agentic AI Developer Platform that would serve the whole client’s company and centralize all the agentic developments under its orbit.

The role is expected to complement and work side by side with the Technical Lead of the team, providing the most specialized knowledge and hand on experience to the team, complementing the Technical Lead at guiding the team to a successful implementation of the platform and to its long term sustainability.

The platform won’t be necessarily internally developed, it may well be composed by an orchestration of already existing software platforms and/or frameworks, along with some degree of customization and abstraction aimed at providing agentic developers of the company with a tailored experience that aligns with the company standards.

Required Skills 💻

To be able to perform this responsibilities as expected by the client, the candidate must fulfil two important requirements that are broad areas of knowledge and hands-on implementation experience:

• DevOps experience with a focus on Kubernetes
• Agentic AI experience, with a focus on lifecycle platforms (e.g. LangFuse)

Regarding DevOps skills, the candidate is expected to have at least 4 years of job experience in roles such as DevOps and/or backend engineer. Additionally, the candidate is expected to possess areas of knowledge that are broadly related to the topics listed below. It is not required that the candidate has experience or knowledge on all of the listed topics, or on any one in particular, the list is intended to be just a guideline of the kinds of things we are looking for:

• General knowledge of Linux OS administration
• General knowledge of containers, images and container registries
• Concepts of IAM and RBAC
• Internal Development Platforms (IDP), self-service infrastructure, golden paths
• General knowledge of IaC concepts and hands on experience with Terraform
• General knowledge Kubernetes, its entities and networking with hands on experience
• Kubernetes administration, helm charts and automations
• Standardizations of development processes
• Templates and scaffolding for development on Kubernetes
• Design, implementation and operation of CI/CD pipelines and related frameworks
• GitHub actions or similar frameworks
• CI/CD frameworks on Kubernetes
• Monitoring and observability on Kubernetes
• ML frameworks for Kubernetes (Kserve, Kubeflow, Ray, etc)

Regarding Agentic AI skills, the candidate is expected to have at least 1 to 2 years of job experience in related roles. Additionally, the candidate is expected to possess areas of knowledge that are broadly related to the topics listed below. It is not required that the candidate has experience or knowledge on all of the listed topics, or on any one in particular, the list is intended to be just a guideline of the kinds of things we are looking for:

• General knowledge of commercial and open source LLMs and their trade offs
• Prompt engineering
• Prompt templating, versioning, A/B testing and management
• Prompt guardrails design and implementation, prompt injection defense
• Agentic skills specification and best practices
• Agentic orchestration frameworks (LangChain, LangGraph, etc)
• Autonomous agent architectures
• Frameworks for monitoring, tracing,debugging and evaluating agentic flows (LangSmith, LangFuse, etc)
• General knowledge of text embedding models
• Vector databases, semantic search, RAG
• Cost optimization of prompts and agentic pipelines
• External memory layer and tools
• MCP frameworks

🎁 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!

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