- Position: Senior AI Engineer
- Working model: Remote
- Employment form: perm or B2B
Join our client! They are a product company that creates a platform that facilitates communication and monitoring of employees not working at desks in large companies. The application is available in both web and mobile versions. It easily enables the integration of internal company systems, customer databases, internal customer calendars, and other messengers, all available on your smartphone! The application is dedicated to companies from various industries (SaaS).
The role:
As an AI Engineer, you will collaborate closely with one of our dedicated product squads to design, implement, and deploy AI solutions for our customers. Working alongside our talented technical and product teams, you will have ample opportunities to grow your career.
Responsibilities:
- Integrate cutting-edge AI models into our products
- Deploy and maintain AI solutions in production
- Collaborate with product squads to add AI-driven features
- Develop and automate MLOps pipelines and infrastructure
- Monitor and enhance the quality and cost-effectiveness of our AI services
- Ensure AI systems are fair, ethical, and unbiased
Requirements:
- Proven experience as a Software Engineer with 3+ years in backend development
- Strong programming skills in Python and fluency in Java
- Solid understanding of Generative AI and Deep Learning models (classification, regression, clustering)
- Solid understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
- Experience using Cloud AI tool sets Like AWS Bedrock
- Hands-on experience in Prompt Engineering
- Proven ability to rapidly prototype and iterate on deploying Generative AI solutions
- Awareness and Knowledge of emerging technologies within the AI space (e.g. Model Context Protocol)
- Knowledge and Experience in techniques to deliver high quality output from Large Language Models
- Experience in deploying agents for real-world applications
- A high degree of pragmatism, focus on shipping fast and able to adapt to changing business needs that go hand in hand with the speed of innovation in AI
Nice to have:
- Experience shipping machine-learning models to production
- Familiarity with MLOps pipelines and infrastructure for LLMs in the cloud
- Open source contributions in this space
- Relevant scientific publications in AI/ML
The offer:
- Competitive salary
- Phone & Home Internet costs reimbursement up to 80 PLN/month
- Private health care package with Luxmed
- Multisport Benefit card
- Creative Allowance – paid as 1000 PLN gross/month
- Home office set-up reimbursement of up to 1000 PLN
- Personal Learning & Development Budget of 1500 USD/year
- Sabbatical Program – 1 month paid leave at 3, 5, 10 year tenure
- 26 days of annual leave/year
- 2 Mental Health days off per year
- Laptop for work purposes
- Hybrid working model
- Oh and don’t forget about Stock options!