Senior Machine Learning Engineer
Role overview
We are looking for a Senior ML/AI Engineer to help stabilise and evolve our AI platform while developing and maintaining production-grade Generative AI solutions.
Responsibilities
- check_circle Help stabilise, mature and evolve the AI platform supporting production LLM, RAG and agent-based solutions.
- check_circle Implement and maintain guardrails, access controls and policy enforcement across models, prompts, agents and tools.
- check_circle Improve platform controls for authentication, rate limiting, token usage, quotas, model access and cost monitoring.
- check_circle Support shared AI platform services, including LLM gateways, model routing, vector search and orchestration.
- check_circle Improve CI/CD, deployment automation, observability, versioning, rollback and production-readiness practices for AI workloads.
- check_circle Work with DevOps and platform engineering teams to deploy and operate AI services across cloud and Kubernetes environments.
- check_circle Design, build and maintain GenAI solutions, including RAG pipelines, agent workflows, backend APIs and reusable services.
- check_circle Diagnose production issues and contribute to technical standards for secure, reliable and maintainable AI systems.
Basic 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.
Preferred 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.
Benefits
- check_circle Permanent contract.
- check_circle Competitive compensation package based on your experience, including private health insurance.
- check_circle 22 days of annual leave + 3 additional company days to recharge.
- check_circle Flexible working hours and a hybrid model that supports balance and collaboration.
- check_circle Continuous learning opportunities (technical and behavioural development) to support your growth.
- check_circle Modern, well-equipped office in the heart of Porto.
- check_circle Free parking for your convenience.
- check_circle Access to ISS Tech Communities to connect, learn and share knowledge.
- check_circle Free access to the company gym to support your wellbeing.
- check_circle Snacks and drinks available at the office.
About the company
At ISS, we are more than just a service provider of cleaning, food, workplace and technical services, we are a partner in our customers’ success. By creating exceptional service moments and transforming workplaces into spaces where employees feel valued, engaged and productive, we enhance productivity and help our customers to attract talent and grow their businesses. This begins with our own people through training, career development, and a supportive culture – empowering them to deliver outstanding service. We know that when our people thrive, they create spaces where our customers’ employees and businesses thrive too.
ISS seeks to BE a place of belonging and CREATE places where every person is welcomed, embraced, and valued for exactly who they are. Places where people feel safe, respected, represented, and supported as their authentic selves.
Tags & Focus Areas
About ISS Facility Services
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