
Junior AI R&D
1 week ago
Key Responsibilities
- Research and evaluate
emerging AI technologies, including intelligent agents, RAG pipelines, and open-source models. - Design and develop
full-stack enterprise AI applications using with Python or backends. - Leverage and extend
tools such as Langflow, coding agents, and orchestration systems to build scalable AI solutions. - Translate business ideas into products
by conducting experiments, prototyping, and validating solutions quickly. - Work with data infrastructure
, including PostgreSQL, Redis, and vector databases, while integrating APIs and managing deployment pipelines across both cloud and on-premises environments.
Requirements
- Full-stack development skills
with and either Python or (personal projects welcome). - Hands-on experience with AI-assisted development
("vibe coding") using tools such as Cursor, Claude, or similar. - Proven ability to build projects independently
from the ground up. - Database knowledge
, particularly PostgreSQL and Redis. - Strong English skills
, especially for reading and understanding technical documentation and research. - Adaptability and curiosity
, with comfort navigating uncertainty and rapidly learning new technologies.
Preferred Qualifications
- Practical AI/ML experience (agents, LLMs, RAG pipelines).
- Hands-on experience with vector databases and retrieval systems.
- SaaS development experience.
- Strong builder mindset — working on personal projects, prototypes, or backends even outside of work.
- Genuine curiosity and passion for AI, with a habit of learning and experimenting continuously.
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