Jobgether
Senior Ai Engineer Yr (Remote)
Senior Ai Engineer Yr | Jobgether | Spain
Jobgether has ALL remote jobs globally. We match you to roles whereyou’re most likely to succeed, and provide feedback on everyapplication to help you learn. No more guesswork, application black holes,or recruiter ghosting in your job search.
...Senior Ai Engineer Yr | Jobgether | Spain
Jobgether has ALL remote jobs globally. We match you to roles where you’re most likely to succeed, and provide feedback on every application to help you learn. No more guesswork, application black holes, or recruiter ghosting in your job search.
As a Senior AI Engineer, you will play a pivotal role in advancing the integration of AI and ML into our software products. This position involves developing and implementing AI-powered features, from exploring new models and creating APIs to ensuring robust deployment and maintenance in production. You’ll work with cutting-edge technologies to enhance user experiences and drive innovation across multiple platforms. Although not a traditional research role, you will directly impact product functionality and user satisfaction through practical AI solutions.
Accountabilities:
- Develop and maintain end-to-end AI solutions, including research, implementation, and production support.
- Build and optimize features using NLP and ML frameworks like LangChain, Haystack, and Scikit-learn.
- Contribute to and support internal AI tools and applications such as chat-based LLMs and document generation tools.
- Engage with leadership teams to identify opportunities for AI integration and create proof-of-concept projects to validate new features.
- Collaborate on AI-related projects and share insights and expertise within the AI community.
Requirements:
- At least 4 years of hands-on experience with Python, including frameworks such as FastAPI, Flask, or Django.
- Proficiency in Docker and Docker Compose for containerization.
- Experience with PostgreSQL and pgVector or MongoDB with Vector Search.
- Strong knowledge of Celery (using Redis or RabbitMQ).
- Familiarity with LangChain or Haystack for building AI models.
- Experience with cloud services like DigitalOcean or AWS.
- Understanding of LLM infrastructure and its applications.
Benefits:
- Ultimate flexibility: Work remotely from anywhere, on your own schedule.
- Freedom and autonomy: Enjoy independence in problem-solving with support from the team as needed.
- Minimal bureaucracy: Operate efficiently with minimal meetings and red tape.
- Small and friendly team: Collaborate with a supportive and fun team environment.
- Extensive network: Connect with a global community of SaaS professionals for knowledge sharing and growth.
- Unlimited paid time off: Recharge as needed with no limits on vacation days.
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