Ai engineer Jobs

Nous offrons à nos joueurs une expérience exceptionnelle, à la fois technique, créative et qualitative. Tu as l'occasion unique de contribuer au développement de l’équipe avec un terrain de jeu fertile en attente d’innovation et de créativité !

The role needs excellent hands-on AI engineering excellence to build robust, accurate, and reliable AI solutions. You will also build cutting-edge AI solutions leveraging agentic architecture, retrieval-augmented generation (RAG), vector search, feature stores, LLMOps, experimentation, observability, and compliance-first AI pipelines.

Responsibilities Good experience in OOP Python AWS cloud experience (Lambda, Step Functions, CFT, IAM, Glue, S3, SNS, SQS etc.) Good CI/CD experience (Preferably Jenkins) AI/ML operations experience using AWS Sagemaker IAC experience Qualifications Has bachelor’s or master’s Degree in a technology related field (e.g. 1+ years of experience in developing ML infrastructure and MLOps in the Cloud using AWS Sagemaker.

Our 3-month AI Trainee Program is your gateway to mastering advanced AI techniques while sharpening your software engineering skills through hands-on experience and mentorship. 👉 We especially value candidates who adopt new AI technologies quickly and can use AI coding tools (e.g., Cursor, GitHub Copilot) to speed up the coding process.

We’re looking for an AI Engineer to design, build, and scale document intelligence systems at the intersection of LLMs, structured data, and real-world product delivery. What You’ll Do Design and scale document ingestion and processing pipelines across PDFs and structured/unstructured data Build and productionize LLM-powered workflows for extraction, classification, summarization, and validation Improve model accuracy, reliability, latency, and cost efficiency Partner closely with product and engineering to translate customer problems into shipped AI features Implement evaluation frameworks, monitoring, and feedback loops to drive continuous improvement Own features end to end from early prototype through production and iteration What We’re Looking For Strong Python engineering skills with experience writing production-quality, well-tested code Applied ML experience, particularly in NLP or document-focused AI systems Hands-on experience integrating LLMs, including structured outputs, retrieval, tool or function calling Comfort owning ambiguous problems and driving them to production Product-minded approach with a bias toward shipping, learning, and iterating quickly Show less

Co-Founders & Team You will work directly with a founding team of AI PhDs and elite engineers: Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). What You Bring Must-Haves: Expert Python Skills: Deep experience building and shipping AI solutions.

This role sits at the intersection of applied AI research and production engineering - a role that is ideal for builders who want to push the boundaries of what's possible with LLMs while shipping real systems that customers depend on. Responsibilities: Design and implement LLM-based systems and agentic workflows that solve real customer problems Build robust evaluation frameworks to measure, track, and improve model behavior Develop scalable asynchronous systems for AI orchestration and task execution Work on RAG pipelines, multi-agent architectures, and production LLM infrastructure Collaborate across engineering, research, and product to define what gets built Shape AI strategy and contribute to long-term technical direction About You: Proven experience building and shipping production AI systems (not just prototypes) Strong foundations in machine learning and deep learning principles Hands-on experience with LLMs, agents, RAG systems, or large-scale inference pipelines Comfort moving between research papers and production codebases Natural curiosity, strong sense of ownership, and drive for continuous improvement Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role.