... in a remote, high-autonomy environment, this is an exciting opportunity to shape impactful AI ... Strong programming skills in Python, with hands-on experience using FastAPI, asynchronous ...
... in a remote, high-autonomy environment, this is an exciting opportunity to shape impactful AI ... Strong programming skills in Python, with hands-on experience using FastAPI, asynchronous ...
Remote Fastapi information
What is the difference between Remote Fastapi vs Remote Django Developer?
| Aspect | Remote Fastapi | Remote Django Developer |
|---|---|---|
| Required Credentials | Python, REST API, async programming | Python, Django framework, REST API |
| Work Environment | Backend API development, microservices | Full-stack or backend web development |
| Industry Usage | Tech startups, SaaS, microservices architecture | Web applications, content management systems |
| Search & Comparison Intent | Yes | Yes |
Remote Fastapi and Remote Django Developer roles both involve Python development but focus on different frameworks. Fastapi is optimized for high-performance APIs and microservices, while Django offers a comprehensive web framework suitable for full-stack applications. The choice depends on project requirements and preferred tech stacks.
What are the most commonly searched types of Fastapi jobs in Missouri? The most popular types of Fastapi jobs in Missouri are:
What are popular job titles related to Remote Fastapi jobs in Missouri? For Remote Fastapi jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Fastapi jobs in Missouri look for? The top searched job categories for Remote Fastapi jobs in Missouri are:
What cities in Missouri are hiring for Remote Fastapi jobs? Cities in Missouri with the most Remote Fastapi job openings:
Full-time
Posted 6 days ago
Job description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Engineer based in Netherlands.
As an AI Engineer, you will design, build, and deploy cutting-edge AI solutions that deliver real business value within a modern SaaS environment. Working as part of a collaborative Data & AI team, you will develop production-ready LLM applications, RAG pipelines, and AI-powered workflows while partnering closely with engineering and business stakeholders. This role offers end-to-end ownership across the AI development lifecycle, from problem definition and model implementation to deployment and monitoring. You'll contribute to scalable cloud-based solutions while leveraging the latest AI development tools to accelerate innovation. If you're passionate about applied AI, enjoy solving complex technical challenges, and thrive in a remote, high-autonomy environment, this is an exciting opportunity to shape impactful AI products.
Accountabilities
- Design, develop, and deploy production-ready AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and other machine learning techniques.
- Own the end-to-end lifecycle of AI features, including problem definition, data preparation, model development, evaluation, deployment, monitoring, and continuous improvement.
- Build and maintain scalable AI pipelines for data preprocessing, feature engineering, model inference, and application integration.
- Integrate AI capabilities into cloud-based infrastructure while ensuring performance, scalability, reliability, and security.
- Collaborate closely with software engineers, product teams, and business stakeholders to embed AI features into customer-facing products and internal systems.
- Leverage modern AI-assisted development tools to improve engineering productivity and contribute to AI-driven development best practices.
- Identify new opportunities where AI can optimize workflows, enhance products, and generate measurable business impact.
- Minimum of 3 years of experience in software development, including at least 1 year focused on AI or machine learning engineering.
- Proven experience building and deploying LLM-based applications or Retrieval-Augmented Generation (RAG) solutions in production environments.
- Strong programming skills in Python, with hands-on experience using FastAPI, asynchronous programming, and modern backend development practices.
- Practical experience integrating AI solutions into cloud platforms, preferably AWS, with an understanding of scalable distributed systems.
- Solid knowledge of database technologies, data processing, algorithm design, statistics, and machine learning fundamentals.
- Experience using AI-powered development tools such as Cursor, Claude Code, GitHub Copilot, or similar within professional engineering workflows.
- Familiarity with MLOps concepts, vector databases, semantic search technologies, and AI frameworks such as PyTorch, TensorFlow, LangChain, or equivalent is an advantage.
- Strong communication skills, a collaborative mindset, and the ability to work effectively within remote, asynchronous, cross-functional teams.
- Self-motivated, curious, and proactive, with a strong sense of ownership and a continuous learning mindset.
- Competitive salary package.
- Full-time remote-first role with flexibility to work from Germany.
- Asynchronous working environment that promotes autonomy and work-life balance.
- Opportunity to work abroad temporarily while remaining part of the team.
- Career development and internal growth opportunities within a rapidly expanding international organization.
- Company-provided hardware and equipment to ensure a productive working environment from day one.
- Collaborative, diverse, and inclusive international culture focused on innovation and continuous learning.
- Opportunity to work with modern AI technologies, cloud platforms, and cutting-edge development tools.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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