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.