Job Closed
This listing is no longer active.
AI Engineer NLP
Location
Switzerland
Posted
42 days ago
Salary
0
Seniority
Mid Level
No structured requirement data.
Job Description
AI Engineer NLP
ARTIDIS
Role Description As an AI Engineer NLP, you will design, develop, and deploy robust NLP systems for both medical devices and cloud environments. This role sits at the intersection of our NLP/ML team (Python) and platform/backend team (Go), requiring strong engineering capabilities across both domains to build scalable, production-grade AI systems. Key Responsibilities - Design, develop, and deploy agentic NLP systems and LLM-powered workflows across Python-based ML pipelines and Go-based backend services. - Act as a bridge between NLP and platform teams, translating ML requirements into scalable backend architectures and vice versa. - Contribute to both Python (ML/NLP) and Go (backend/platform) codebases, ensuring clean interfaces and efficient system integration. - Architect modular systems for LLM orchestration, APIs, and service communication (e.g., microservices, RPC, REST). - Ensure reliability, performance, and compliance of AI systems in regulated medical environments. - Implement evaluation, monitoring, and observability across the full stack (model + service layer). - Collaborate cross-functionally to deliver end-to-end AI-powered features from research to production. Qualifications - Strong Python engineering skills, including: - Advanced OOP, design patterns, and SOLID principles. - Experience with type-safe development (type hints, mypy, pydantic). - Writing tested, maintainable, and production-grade code. - Experience building and deploying LLM/NLP systems in production (e.g., LangChain, Google ADK, HuggingFace). - Experience or strong proficiency in backend development with Go, including API/service design. - Strong understanding of modern NLP/LLM workflows, including orchestration and evaluation. - Being native with Git version control and collaborative development workflows. - Ability to design systems with long-term scalability and maintainability in mind. Nice to Have - Experience in backend, frontend, or full-stack development beyond core responsibilities. What We Value - Ability to operate effectively across ML and backend engineering domains. - Engineering rigor applied to machine learning systems. - Clean, readable, and scalable code across languages. - Ownership mindset and proactive problem solving. - Ability to work independently while contributing to a collaborative environment. Working Conditions The environment is a typical start-up with an intrinsically motivated international team. Our company is an excellent place for rapid advancement and offers a promising opportunity to learn and share know-how in a very agile environment. The position requires the employee to go the extra mile when needed. We are looking for a team player who appreciates direct communication. The effort is rewarded with challenging tasks, the opportunity to take responsibility, a highly driven team, and work that serves a significant purpose. The job position comes with a competitive salary and a bonus for outstanding performance.
Related Guides
Related Job Pages
More AI Engineer Jobs
AI Engineer
AugeoGlobal leader in engagement platform technologies and data-driven experiences that cultivate brand advocates worldwide.
• You will own a product capability end to end, from architectural decisions through production outcomes, cutting through every layer: entry points, orchestration, intelligence, tools, data, and observability. • Your work directly shapes how Augeo's clients engage tens of millions of users. • You will build and ship mission-critical AI agents that drive revenue growth across finance, healthcare, telecom, and commerce. • Not proof-of-concepts. Powerful, scalable systems running in production. • Define how AI agents are built at Augeo. • Drive the Agent Development Life Cycle (ADLC) from initial pilot through production iteration, setting the standard for how agents are developed, tested, evaluated, and improved. • Build the shared platform: agent orchestration, agentic workflows, ML models, and data infrastructure that every product team at Augeo builds on. • Work across Augeo with engineers, product leads, and end users to understand needs, close feedback loops, and ensure the platform compounds with every interaction. • Shape the team. Participate in hiring and define the culture of an engineering org that is AI-native from day one.
Senior Fullstack .NET Engineer (SDLC x AI)
Plain ConceptsRediscover the meaning of technology | Spain, USA, UK, Germany, Netherlands, Australia and Romania.
🚀 We’re Growing Our Development Dream Team! Titles? Meh, we’re not big on them, but let’s call this one Senior Software Engineer 😉 As part of our Development squad, you’ll craft tailor-made solutions that wow our clients. We’re looking for a passionate Senior Software Engineer (.NET & Azure) who combines deep technical expertise with a modern engineering mindset, leveraging AI‑assisted development tools to accelerate delivery without compromising excellence. Your mission? Train, deploy, and put groundbreaking developments into action — and that’s just the beginning. Here’s the deal: - You’ll tackle the unique challenges of software development with best practices alongside a team of brilliant minds. - You’ll dive into cutting-edge projects using the latest tech to push boundaries and make an impact. - Whether you prefer working from home or vibing with us at our offices, the choice is yours. - AGILE isn’t just a buzzword here — it’s how we roll. Multidisciplinary teams? Check. Full ownership of projects? Double check. Ready to take on projects that matter, with a team that’s as passionate as you are? Let’s make it happen! 😊 You will be responsible for: - Design and lead end-to-end software engineering solutions in cloud environments. - Develop projects from scratch with minimal supervision and strong team collaboration. - Guide teams and ensure high-quality delivery. - Leverage AI-assisted development tools such as GitHub Copilot, Copilot agents, and Anthropic-based solutions. - Choose the appropriate model and approach for each use case, balancing quality, speed, and cost. - Design and maintain reusable prompts, instructions, and workflows to standardize AI usage across projects. - Contribute to the adoption of modern engineering practices combining AI capabilities with strong quality and review processes. - Ensure best practices in software quality, security, and scalability. - Translate business needs into clear technical specifications, following a spec-driven development approach. - Mentor other engineers and promote technical excellence. - Participate, review, help and take care of the projects where your teammates are involved. - Build scalable pipelines using a variety of technologies. - Be up to date with the latest tools and technologies in the market.
AI Developer / Architect
Empresa com nome confidencialProcuramos uma pessoa que vá além do operacional, que tenha senso de prioridade, autonomia e consiga atuar como braço direito do CEO, contribuindo ativamente para a organização e crescimento da empresa.
Role Description Estamos em busca de um(a) Desenvolvedor(a) / Arquiteto(a) de Inteligência Artificial para liderar o desenho e implementação de soluções avançadas de AI, além de atuar diretamente no desenvolvimento de um ERP proprietário da companhia, integrando inteligência e automação aos processos de negócio. Modelo de contratação: 100% remoto, Contratação PJ Responsabilidades - Projetar e implementar arquiteturas de Inteligência Artificial escaláveis para uso corporativo - Desenvolver e evoluir o ERP da empresa, garantindo integração com soluções de AI e automação de processos - Integrar soluções de AI aos módulos do ERP e outros sistemas corporativos - Liderar iniciativas de automação de processos utilizando AI - Avaliar, selecionar e implementar ferramentas e frameworks de AI - Trabalhar em conjunto com times técnicos e de negócio para identificar oportunidades de automação e melhorias no ERP - Garantir boas práticas de arquitetura, segurança, performance e escalabilidade Qualifications - Experiência sólida em desenvolvimento de sistemas ERP - Conhecimento avançado em arquitetura de soluções de AI (LLMs, automação, pipelines de dados, etc.) - Experiência com desenvolvimento de sistemas complexos e integrações via APIs - Capacidade de estruturar soluções escaláveis e resilientes - Inglês avançado (obrigatório) Requirements - Experiência na construção de ERP do zero ou evolução de sistemas legados - Experiência com automação de processos empresariais (RPA, workflows inteligentes) - Vivência com cloud (AWS, Azure ou GCP) - Conhecimento em engenharia de dados e MLOps - Experiência liderando projetos ou definindo arquitetura Profile Desired - Pensamento estratégico e visão de arquitetura - Autonomia e senso de dono - Facilidade de comunicação com áreas técnicas e de negócio - Proatividade na identificação de melhorias e oportunidades #LI-Remote
Summary As an AWS with GenAI Engineer (Python, GenAI, AWS Cloud) at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community’s most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. Here are the details on this position. This role is strictly involved in the development of the product and does not involve access to Protected Health Information (PHI) & Personally Identifiable Information (PII) or any secured/confidential client data. The work is limited to application development and does not include handling or processing of sensitive health information. Your role in our mission - Architect and maintain AWS demo environments using services such as EC2, ECS/Fargate, Lambda, S3, RDS, DynamoDB, IAM, KMS, API Gateway, CloudWatch, and AWS Glue. - Develop Python-based solutions leveraging libraries like NumPy, Pandas, Scikit-learn, and others for data processing and automation. - Build and manage Terraform modules for automated provisioning, environment resets, and decommissioning. - Integrate AWS GenAI services (Bedrock, SageMaker) for real-time demo enrichment and scenario automation. - Collaborate with Demo COE and Product SMEs to design and implement custom demo flows. - Implement RBAC, feature toggles, and configuration management using AWS Systems Manager and AppConfig. - Ensure environmental health through automated monitoring, alerting, and load testing (CloudWatch, ALB, X-Ray). - Support automated QA gates, metrics collection, and post-demo knowledge management. - Provide secondary support for data engineering tasks (AWS Glue, Redshift, Athena) for ingestion and transformation. - Contribute to hybrid cloud demos and integrations with Azure as needed. What we're looking for - 5+ years of experience in AWS engineering and Python development. - Strong proficiency in Terraform for AWS Infrastructure as Code. - Hands-on experience with GenAI or ML services (Bedrock, SageMaker, Lambda). - Familiarity with CI/CD pipelines, containerization (Docker), and orchestration (ECS/Fargate). - AWS Certification (Solutions Architect, DevOps Engineer, or equivalent) preferred. - Excellent problem-solving skills and ability to work in a fast-paced environment. What you should expect in this role - Fast-paced, challenging and rewarding work environment. - Work life balance. - Remote working.
