AI Developer intern at Atos working on healthcare innovation projects involving AI and R&D. Collaborating in a small team under the guidance of a mentor in an agile environment.
About the role
- AI Engineer developing production-ready AI features for Easygenerator’s e-learning products. Collaborating across teams to integrate intelligent solutions for learning and assessment.
Responsibilities
- Design, develop, and deliver AI-powered features across Easygenerator’s products.
- Work with modern LLM frameworks and toolchains (LangChain, LangGraph, LangFuse, etc.) to build RAG systems, AI Agents, and dynamic authoring workflows.
- Work in a highly capable cross-functional team environment (Engineering, Product, and Design) to integrate AI seamlessly into our well architected and distributed product.
- Apply solid AI engineering principles — from planning and testing to deployment, evaluation, and continuous improvement.
- Optimize and fine-tune open-source or hosted LLMs to balance performance, accuracy, and cost.
- Contribute to LLMOps and AI observability, improving reliability, evaluation, and monitoring pipelines.
- Stay on top of emerging AI tools and frameworks, helping shape Easygenerator’s AI vision and roadmap.
Requirements
- 2+ years of experience building and deploying production-grade AI applications
- 4+ years of web application engineering experience
- Solid understanding of machine learning and deep learning fundamentals
- Practical knowledge of LLMs, their components (tokenization, attention, embeddings, vector search), and common limitations
- Hands-on experience with RAG pipelines, Agents, and Vector Stores
- Familiarity with LLMOps practices — monitoring, evaluation, and feedback loops
- Strong understanding of software engineering principles and SDLC
- Comfortable working beyond notebooks — building APIs, services, and integrations
- Strong understanding of high-level programming language like Python
- Good understanding of version control, CI/CD, testing frameworks, and data handling/ETL
- Working knowledge of Docker and containerized environments
- Familiarity with AWS or other cloud providers. (Plus)
- Basic experience with a backend framework (e.g., FastAPI, Express.js or similar). (Big Plus)
Benefits
- Health insurance
- 401(k) matching
- Remote work options
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
AI Developer internship at Atos focusing on health technology innovations. Collaborating on AI models and diagnostic assistance.
AI Engineer developing AI functionalities for production - oriented chat services at citema systems. Implementing and enhancing orchestration, prompt engineering, and evaluation frameworks.
AI Architect responsible for defining AI architecture and strategy for scalable solutions. Designing implementations and providing technical leadership to development teams and stakeholders.
AI Lead at Aspire Software identifying and building AI - powered solutions. Responsible for customer discovery, product validation, and delivering measurable impact.
AI Engineer developing and deploying AI/ML solutions using Azure technologies. Collaborating with cross - functional teams and implementing CI/CD pipelines in a responsible AI environment.
Principal AI Engineer at Humana focused on enterprise platform strategy and AI systems design. Leading development of agentic AI platforms and influencing architectural direction.
AI Developer Technology Engineer designing and optimizing GPU - accelerated workloads for financial markets at NVIDIA. Collaborating with technical experts to analyze and improve performance of complex AI applications.
AI Engineer at Maki building AI - powered talent acquisition and management solutions. Collaborating on AI features, evaluating models, and ensuring compliance in a hybrid role.
Head of ML/AI Platform at ZEIT Verlagsgruppe leading a new team in ML/AI development efforts. Requires expertise in cloud infrastructure, software development, and agile environments.