AI Engineer (all genders)
AI Tools
Tech Stack
Agent Workflow
End-to-end lifecycle of generative AI features including document summarization and Q&A chat with RAG, production-grade evals, prompt injection safeguards, and PII-safe observability.
About the Role
As the first dedicated full-time AI Engineer at SECJUR, you will own the end-to-end lifecycle of generative AI features, taking them from MVPs to robust, production-grade services including document summarization and Q&A chat, building MLOps on Azure, and establishing best practices for future team members.
Core Requirements
- 5+ years MLOps/Data (SaaS/cloud) with shipped production systems
- 2+ years Generative AI experience (LLMs, prompt engineering, retrieval-augmented generation)
- Proven RAG delivery with production-grade evals (automatic + targeted human review), observability with PII-safe redaction, and safeguards against prompt injection/jailbreak
- Python + Docker; MLflow; Azure (Azure OpenAI); vector indexing; async orchestration
- High ownership mentality; strong English communication
- Remote-first environment collaboration skills
Tech Stack: Python, Docker, MLflow, Azure, Azure OpenAI, Azure AI Search, pgvector, Elastic, async frameworks.
Bonus: Databricks, Ray, Kedro experience.
Benefits: Stable non-bureaucratic environment, unlimited vacation days, permanent full-time contract, flexible working hours, professional development opportunities.
Location: Lisbon/Remote (Portugal). Remote-first culture with flexible working hours. Must be eligible to work in Portugal (EU citizen or valid Portuguese work permit).