Junior AI Application Developer

Key Responsibilities


Write and modify Python agent modules following existing patterns 
Adjust prompts, tune chunking parameters, and modify configurations 
Debug pipeline failures by reading logs and tracing errors 
Run and monitor agent chains 
Perform basic ChromaDB operations, including indexing and querying 
Work with APIs (add new calls and handle responses) 


Support & Mentorship

You will receive guidance and support in the following areas:


Architectural decisions (e.g., new agent design, chain ordering, when to split or merge pipelines) 
RAG tuning strategy 
Complex debugging (e.g., rerank timeouts, content filter issues, race conditions) 
Prompt engineering for domain-specific quality 


Required Skills & Qualifications


Proficiency in Python 3 (sufficient to understand where LLM-generated code may contain mistakes) 
Basic understanding of LLM APIs (e.g., OpenAI-style chat completions) 
Familiarity with Retrieval-Augmented Generation (RAG) concepts 
Strong analytical thinking and delivery skills 


Why Join


Work directly with an industry-star CTO 
High learning and growth potential in cutting-edge AI/GenAI systems 
Hands-on exposure to real-world LLM pipelines and applications 


Interested candidates can send their cv to the e-mail address in the Apply for job button. Please indicate your salary expectations in the application.