Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Building and optimizing the core ML foundations and agentic experiences for the Nova platform with an accent on retrieval systems, evaluation frameworks, and model integration layers. Focus on operationalizing RAG use cases, designing scalable AI abstractions, and productionizing LLM-powered features.

Location: Hybrid in Lisbon, Portugal

Salary: €65,000 – €88,000 per year

Company

hirify.global is an AI-powered customer engagement platform that enables brands to create individualized cross-channel experiences at scale.

What you will do

• Design and build ML platform components for agentic systems, including retrieval pipelines and indexing strategies.
• Operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns.
• Develop generalized evaluation frameworks for LLM- and agent-based features, including offline metrics and monitoring.
• Implement reusable abstractions and tooling to enable other teams to build AI experiences efficiently.
• Productionize ML features with backend engineers to ensure high reliability, observability, and performance.
• Prototype applied ML solutions and contribute to the Nova agent framework using Mastra and TypeScript.

Requirements

• Must be based in or able to work hybrid in Lisbon, Portugal.
• 5+ years of experience as a Machine Learning Engineer focusing on production systems.
• Strong engineering skills with Python or TypeScript.
• Experience with retrieval systems, vector databases, search technologies, or RAG architectures.
• Proven track record of integrating ML or LLM-powered features into production applications.
• Understanding of ML evaluation techniques, experimentation design, and failure analysis.

Nice to have

• Experience building ML/LLM platforms, tooling, or developer-facing frameworks.
• Prior work with embeddings, search-ranking systems, or advanced RAG architectures.
• Familiarity with event-driven systems or streaming architectures.
• Background in personalization, recommendations, or applied NLP.
• Experience working in remote-first engineering teams.

Culture & Benefits

• Competitive salary and meaningful equity.
• Private Medical Insurance and Life/Risk Assurance.
• Meal allowance (€8.55/day) and Global Lifestyle Reimbursement Account.
• Paid annual leave (22 days) and paid sabbatical.
• Company culture based on ownership, growth mindset, transparency, and inclusion.
• Complete laptop workstation provided.