AI Platform Engineer - Syone
Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Aug 6, 2026. Syone scores B on the Alion truth index.
We are looking for an AI Plarform Engineer to join our team.
Responsibilities:
1 - AI Platform & LLM Integration Design and operate the enterprise AI platform layer, integrating and managing multiple LLM providers in a production environment:
- Multi-provider LLM integration across Azure AI Foundry, Azure OpenAI, Claude (AWS Bedrock), and OpenAI APIs - with routing, fallback, and cost controls
- Reusable AI services and APIs consumed by agents, copilots, and business applications
- Context management, memory architectures, structured outputs, and function calling
- Inference performance optimisation, cost attribution, and usage analytics
- AI environment management - prompt versioning, model versioning, deployment pipelines 2 - Agent & Agentic Workflow Development Design and deploy autonomous agents and multi-agent systems that execute real business workflows:
- Autonomous and planning agents capable of multi-step reasoning over enterprise knowledge
- Multi-agent orchestration using Model Context Protocol (MCP) and agent collaboration frameworks
- Tool-using agents with function calling, plugin architecture, and enterprise system integrations
- AI copilots built on Microsoft Copilot Studio for business users
- Workflow automation connecting AI agents to enterprise platforms (SharePoint, Salesforce, M365, etc)
3 - RAG & Knowledge Retrieval Build enterprise-grade retrieval capabilities on top of the Corporate Brain data platform:
- Hybrid search (semantic + keyword) with vector indexing and Azure AI Search integration
- Context retrieval, citation frameworks, and prompt orchestration for grounded, accurate outputs
- Chunking strategies, embedding pipeline consumption, and knowledge grounding
- RAG evaluation - precision, recall, hallucination detection, and context relevance testing. 4 - Evaluation, Safety & AI Governance Own the quality and safety bar for all AI systems in production - this is a first-class engineering responsibility, not an afterthought:
- Systematic evaluation frameworks covering accuracy, hallucination detection, and response quality
- Prompt regression testing, agent benchmarking, and safety testing across model updates
- Guardrails design and implementation - input/output filtering, content policy enforcement
- Production monitoring: latency, cost per query, error rates, and agent task completion rates
- AI lifecycle governance - structured approval gates before production deployment.
Required Technical Skills:
- LLM APIs & prompt engineering
- Retrieval Augmented Generation (RAG)
- AI agents & agentic workflows
- Function calling & structured outputs
- Vector databases & semantic search
- Python
- REST APIs, Docker, Git, CI/CD
- Azure & cloud-native development
- Multi-provider LLM integration
- AI evaluation & safety frameworks
Experience:
- 8+ years in software engineering, with at least 3 years building and shipping production AI applications
- Proven experience deploying enterprise LLM solutions used by real end-users at scale
- Experience designing multi-agent systems and agentic orchestration architectures
- Experience integrating AI into business workflows - not just standalone demos.
Nice to Have:
- LangGraph
- Semantic Kernel
- LangChain or LlamaIndex
- AutoGen / CrewAI
- Observability platforms (Datadog, Grafana)
- AI governance frameworks
- Azure AI Search (advanced)
- Fine-tuning or RLHF experience
What can Syone offer me:
Integration in an organization with profound and sustained growth and involvement in pioneering projects with innovative technological solutions;
Strong IT training plans;
Professional evolution with intervention in ambitious technological projects, both national and internationally.
By applying, you accept our GDPR policies. Your personal data in your CV and documents will be used solely for processing your application at SYONE. SYONE, S.A. (NIPC 504729624) is the data controller, located at Rua Alfredo da Silva, 8-A, Edifício Stern, Piso 3D, 2610-016 Amadora. We will use your data to tailor your application to relevant vacancies and for potential employment contracts. If selected, your data will be kept during your employment and for at least two years after. If not selected, your data will be kept for two years for future vacancies and then deleted, except for your contact details. You can exercise your rights (access, rectification, erasure, etc.) by emailing [email protected]. Your data may be shared with our HR service providers and will be stored securely. You can withdraw your consent at any time. We will not use your data for other purposes without your express consent. For more information, email [email protected].