Architect, implement, and deploy production-ready AI solutions using LLMs, transformer-based models, retrieval systems, and agentic workflows.
Design, iterate, and optimize prompts, workflows, and RAG pipelines to improve accuracy, latency, cost-efficiency, and safety.
Build multi-step agentic systems capable of task decomposition, tool and API invocation, state management, and robust reasoning chains.
Deploy and maintain GenAI pipelines across API, batch, and streaming production environments, ensuring reliability and scalability.
Develop and maintain evaluation frameworks to measure grounding, factuality, latency, and cost of AI systems.
Implement guardrails and safeguards, including prompt-injection protection, content moderation, output validation, loop prevention, and tool-call limits.
Collaborate cross-functionally with Product, Engineering, and ML Ops teams to deliver high-quality AI features end-to-end.

3+ years of experience in applied machine learning, with strong exposure to NLP, transformers, or generative AI systems.
Hands-on experience with LLM and agent frameworks such as LangChain, LlamaIndex, OpenAI API, CrewAI, or similar tools and services (e.g., Azure Prompt Flow, AWS Bedrock agents).
Proven experience designing and operating multi-step agentic systems with appropriate safety and reliability safeguards.
Solid ML foundations with experience building and deploying models into production environments (API, batch, or streaming).
Strong Python skills, following clean, modular, and production-grade coding practices.
Demonstrated ability to design, run, and analyze experiments using metrics-driven decision-making.
Experience deploying and monitoring AI-powered applications in cloud environments (AWS, Azure, or GCP), including containerization, versioning, and CI/CD.
Experience or strong interest in Responsible AI practices, including privacy, bias mitigation, and safety guardrails.
Degree in Computer Science, Data Science, Engineering, or a related field (or equivalent practical experience).
Strong collaboration skills and ability to operate at the intersection of Data Science and Engineering, owning solutions from prototype to production.

Every day lunches! (headquarters): Vegetarian, vegan, gluten and sugar free options.
Gourmet meals every Friday with our on-site chef!
Flexible working options to help you strike the right balance.
All the equipment you need to harness your talent (Macbook and accessories).
Snacks and beverages available everyday (headquarters).
After office events, football, tennis and game nights (headquarters).
Everyone is welcome to join our football league every Wednesday’s and Friday’s. Challenge your teammates to a pool game and win the office’s trophy! Tennis courts available for friendly matches. Not a sports person? Don’t worry, we also have chess championships, game and music nights for you to join!
Learning opportunities: AWS Certifications (we are AWS Partners). Study plans, courses and other certifications.
English Lessons.
Learn from your teammates on our Tech Tuesdays!
Mentoring and Development opportunities to shape your career path.
Anniversary and birthday gifts.
Great location and even greater teammates!

AI Engineer – Manager

Key skills