AI Solutions & Automation Engineer

About the Company
If you have ever watched television or enjoyed a movie on your phone or tablet, this experience was likely brought to you through an Ateme solution created by our award-winning engineering teams.
Ateme (PARIS: ATEME) is the global leader in video delivery, partnering with top content and service providers, and streaming platforms like Netflix.
Through our cutting-edge R&D and innovation, we enable clients to deliver high-quality video experiences on any device, boosting engagement and revenue.
Guided by a robust CSR policy, we are committed to making the entertainment and video experience captivating, greener, accessible to everyone, while promoting our employees' well-being and ethical business practices.
At Ateme, we prioritize innovation, collaboration, empowerment, agility, and diverse contributions.
Join us and help shape the future of video delivery!
Ateme is looking for a permanent AI Solutions & Automation Engineer to design, develop, and deploy internal tools that reduce repetitive tasks, streamline access to information, and improve team efficiency, particularly across Sales, Pre-Sales, Support, Product, and Operations.
Your role will sit at the intersection of full-stack development, generative AI, automation, and business understanding. You will work from real business needs to develop reliable, measurable solutions that are easy for teams to adopt.
Key Responsibilities
Identify and prioritize use cases: Work directly with business teams to understand their processes, identify low-value or repetitive tasks, and define the expected benefits.
Prototype quickly: Design proofs of concept and usage-focused MVPs, test them with users, and iterate based on feedback.
Develop end-to-end internal tools: Build user interfaces, backend services, workflows, agents, and integrations through to operational deployment.
Connect enterprise systems: Integrate solutions with Microsoft 365, Salesforce, Jira, Confluence, SharePoint, and other approved data sources while respecting access rights and permissions.
Industrialize solutions: Implement testing, CI/CD, observability, documentation, version management, support, and continuous improvement.
Ensure security and responsible AI: Apply data protection, confidentiality, traceability, human oversight, and risk management requirements.
Measure impact: Define adoption, quality, and operational efficiency metrics with business teams and track the value delivered after deployment.
Build reusable solutions: Document components and agents, avoid duplication, and contribute to a shared architecture that enables solutions to be reused across multiple teams.
Examples of Solutions you may build
Assistants for meeting preparation, meeting summaries, and action tracking.
Intelligent search across commercial and technical documentation.
Automation of RFP responses and generation of scoping documents.
Tools to support proposal preparation, opportunity tracking, and consolidation of information from multiple sources.
Support agents capable of suggesting contextualized resolutions and enriching the knowledge base.
Simple internal applications to automate checks, calculations, reporting, and recurring workflows.
Required Skills and Experience
You hold a Master's degree (Bac+5), engineering degree, or equivalent qualification, and have at least 5 years of relevant experience in application development, automation, or the implementation of AI solutions in an enterprise environment.
Full-stack development: Python and/or TypeScript, REST APIs, web applications, databases, and user-focused interface design.
Generative AI and agents: LLMs, prompt engineering, RAG, semantic search, tool calling, orchestration, and response quality evaluation.
Integration: OAuth 2.0 / OIDC, SSO, enterprise APIs and connectors, identity and permission management.
Cloud & DevOps: Docker, Git, CI/CD, automated testing, logging, monitoring, and deployment on cloud or internal platforms.
Product thinking: Ability to start from a business need, define an MVP, balance simplicity and robustness, and support user adoption.
Security & governance: Good practices in data protection, secrets management, auditability, human oversight, and documentation.
Additionall Skills that would be an advantage
Microsoft Copilot Studio, Power Platform, Microsoft Graph, Azure AI, or Azure OpenAI.
Salesforce, Jira, Confluence, SharePoint, Dataverse, or Fabric.
Agent interoperability protocols and standards, particularly MCP.
Experience in media, video, B2B SaaS, or enterprise software environments.
UX practices, change management, and user training.
How your work matters
Curiosity, pragmatism, autonomy, and a results-oriented mindset are essential. You enjoy understanding how people actually work, simplifying complex problems, and delivering useful solutions.
You can clearly explain your decisions, collaborate with both technical and non-technical stakeholders, experiment quickly without compromising security, and understand that a solution only creates value when people actually use it.
Location
We consider different locations in Europe and Asia (our offices locations) but we do not consider 100% remote. This job is not eligible for mobility or relocation opportunities.
At Ateme, onboarding is much more than a process. It is a complete experience designed to set you up for success: immersive training, regular meetings with your manager and HR, a collaborative culture, and stimulating projects.
Join us for a rewarding professional journey where your development and success matter.
Compensation & Benefits
Compensation based on experience
Hybrid working model
Bonuses: performance bonus, employee referral bonus, etc.
Access to our internal training platform, including video technologies, Kubernetes, AWS, and more
International collaboration with Business, IT, Product, R&D, and Security teams
To learn more about Ateme, visit our corporate website:
[protected info]