- അനുഭവം
- 2+ വർഷം
- ശമ്പളം
- USD 90,000 – USD 200,000 / year
- ഓപ്പണിംഗുകൾ
- 1
- പോസ്റ്റ് ചെയ്തു
- 19 മണിക്കൂർ മുമ്പ്
- പ്രവർത്തന രീതി
- ഓഫീസിൽ
- പുനരാരംഭിക്കുക
- അപേക്ഷിക്കാൻ നിർബന്ധം
നിങ്ങൾ എവിടെ ജോലി ചെയ്യും
ജോലി വിവരണം
About The Position
Join a fast-expanding AI SaaS startup backed by Y Combinator, specializing in sales automation. This hands-on Full-Stack Engineer role demands a proactive individual ready to develop AI-driven systems end-to-end. You'll be part of a tightly-knit, product-focused engineering team delivering scalable AI software solutions to distributors and manufacturers in a dynamic, fast-paced setting.
Key Responsibilities
- Design and architect AI-powered systems from the ground up.
- Work closely with full-stack engineers to implement reliable, feature-rich solutions.
- Develop efficient data pipelines for processing vast amounts of unstructured data.
- Manage deployment and maintenance of cloud-hosted applications.
- Ensure backend systems are scalable, stable, and optimized.
- Build reusable, scalable frontend components and APIs.
- Produce clean, maintainable code complemented by appropriate testing.
Qualifications
- At least 2 years of full-time software engineering experience.
- Skilled in building AI-enhanced web apps using Next.js/React frontend and Python backend.
- A product-driven approach with demonstrated success in delivering complex web applications.
- Experience with cloud services such as AWS, Azure, or GCP and implementing modern CI/CD pipelines.
- Strong background with container tools like Docker and Kubernetes for deployment and orchestration.
Preferred Skills
- Practical experience with ML and NLP technologies including embeddings, vector databases, and RLHF in production.
- Expertise in deploying ML model serving and inference pipelines in live environments.
- Familiarity with PostgreSQL and relational database design.
Compensation and Work Conditions
- Annual salary ranges from $90,000 to $200,000 USD.
- Please note, visa sponsorship is not offered for this position.
Location Details
This is a full-time onsite position located in Munich, Bavaria, Germany. Remote work options are not available.