9 дней назад
Senior AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (LLM/Go): Building and operating LLM-powered pipelines and agent-based systems that find, triage, and remediate application security risks with an accent on RAG, model evaluations, and cloud-native architecture. Focus on designing reliable production AI features, comparing emerging models and frameworks, and implementing guardrails, validation, fallback behavior, and observability.
Location: Braga, Portugal — office-based
Company
develops One, a cloud-native application security platform used by enterprises to secure software from code to cloud.
What you will do
- Design, build, and own LLM-powered pipelines and agent-based systems that find, triage, and remediate security risks in production at scale.
- Develop retrieval and context strategies using RAG, tool use, and memory to ground model behavior in product data and application security domains.
- Define model and agent evaluations covering accuracy, hallucination, latency, and cost, and use results to guide iteration and model selection.
- Evaluate emerging AI tools, models, vendors, and frameworks, producing build-versus-buy-versus-integrate recommendations.
- Design reliable production AI features with guardrails, structured output validation, fallback behavior, and LLM-focused observability.
- Contribute to architecture discussions and code reviews across cloud-native systems built with Go.
Requirements
- 5+ years of professional software engineering experience with hands-on LLM and AI agent development.
- Experience designing RAG pipelines, retrieval strategies, or context and memory systems for LLM applications.
- Practical experience evaluating model and agent quality and comparing AI tools, models, or vendors.
- Experience with cloud AI services such as AWS Bedrock, Azure OpenAI, or Vertex AI.
- Strong proficiency in Go and/or Python, plus distributed systems, message queues, gRPC/REST APIs, relational databases, Docker, and Kubernetes.
- Excellent English communication skills and availability to work from the Braga office.
Nice to have
- Regular engagement with AI research and practitioner communities.
- Experience with vector databases and embedding models.
- Application security knowledge.
- Experience with GitOps tooling such as ArgoCD and Helm, or OpenTelemetry.
Culture & Benefits
- Professional development opportunities and challenging engineering work.
- Competitive compensation and benefits.
- Work-life balance and additional perks throughout the year.
- Equal opportunity employment.
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