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:

www.ateme.com