Senior Machine Learning Engineer
On-sitePorto, Porto, Portugal
Job Summary
Stabilize and evolve the AI platform supporting production LLM, RAG, and agent-based solutions by implementing guardrails, access controls, and policy enforcement. Improve platform controls for authentication, rate limiting, token usage, and cost monitoring while enhancing CI/CD, deployment automation, and observability for AI workloads. Design, build, and maintain GenAI solutions including RAG pipelines, agent workflows, and backend APIs. Diagnose production issues and contribute to technical standards for secure, reliable AI systems. Work with DevOps teams to deploy services across cloud and Kubernetes environments. This hands-on engineering role combines AI application development, backend engineering, and production operations.
Required Qualifications
- Strong experience in AI engineering, backend engineering, platform engineering or ML platform roles
- Strong Python skills and experience building production-grade APIs, backend services and integrations
- Hands-on experience developing or operating production GenAI solutions using cloud-hosted or open-source language models
- Experience with LLM, RAG or agent-based systems and an understanding of their production challenges
- Experience implementing platform controls such as authentication, rate limiting, quotas, token management, cost monitoring or policy enforcement
- Experience with cloud platforms, containerisation, Kubernetes and production observability
- Experience with CI/CD, deployment automation and reliable software release practices
- Knowledge of relational databases and experience with vector search or vector databases
- Strong written and spoken English
- Must be able to lift 50 lbs
Desired Qualifications
- Experience with orchestration frameworks such as LangChain, LangGraph or similar tooling
- Experience with vector technologies such as pgvector, FAISS, Pinecone, and Weaviate
- Exposure to AI platforms such as Databricks, Microsoft Foundry, Azure AI, AWS Bedrock or Google Vertex AI
- Experience with LLM gateways, model routing, fallback strategies or multi-provider architectures
- Understanding of AI evaluation, prompt-injection testing, responsible AI, security governance or FinOps controls
- Strong problem-solving skills and a practical approach to platform, application and reliability challenges
- Comfortable working across AI application development and platform engineering
- Clear communicator who can work effectively with technical and non-technical stakeholders
- Strong sense of ownership, with a focus on quality, security and reliability
- Comfortable influencing technical decisions and supporting the development of other engineers
- Curious and pragmatic, with an interest in emerging AI technologies and production-ready delivery
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