Junior AI Engineer (Entry-Level)

About the Role

We are looking for a motivated Entry-Level Generative AI Engineer / AI Engineer to join our team. You will work alongside experienced engineers to build, test, and improve AI-powered applications using Python, large language models (LLMs), and APIs. This role is designed for candidates beginning their careers in AI engineering who enjoy turning ideas into working applications.

Key Responsibilities

• AI Application Development:
• Help build and maintain applications that use LLM APIs.
• Write Python code to process inputs, call APIs, validate responses, and handle errors.
• Assist in creating features such as chat assistants, document Q&A tools, and information extraction workflows.
• Prompting & Retrieval:
• Develop and test prompts for specific application tasks.
• Assist with document processing, embeddings, semantic search, and retrieval-augmented generation (RAG).
• Help improve response quality by testing retrieval results and checking whether answers are supported by source material.
• Testing & Responsible AI:
• Create test cases and evaluate AI application outputs for accuracy, relevance, and reliability.
• Help identify issues such as hallucinations, prompt injection, and exposure of sensitive information.
• Document application limitations and escalate unexpected behavior.
• Collaboration & Documentation:
• Work with software engineers, data teams, and product stakeholders.
• Participate in code reviews and team meetings.
• Maintain clear documentation for assigned features, tests, and workflows.

Requirements & Tech Stack

• Technical Skills:
• Working knowledge of Python, including functions, data structures, packages, and JSON.
• Basic understanding of REST APIs and how applications send and receive data.
• Familiarity with LLMs, prompt design, tokens, and common limitations of generated responses.
• Introductory knowledge of embeddings, vector search, and RAG.
• Familiarity with Git/GitHub and basic testing or debugging practices.
• Experience building an AI application or project, whether through coursework, a bootcamp, an internship, or independent work.
• Nice to have: Exposure to tool calling, AI agents, FastAPI, vector databases, cloud platforms, or application deployment.

Qualifications

• Education:
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
• Equivalent practical training and strong project experience may also be considered.
• Experience:
• 0–1 year of full-time professional AI engineering or software development experience.
• Academic projects, internships, bootcamp projects, personal projects, GitHub portfolios, hackathons, and open-source contributions are valued.
• Soft Skills:
• Strong problem-solving skills and attention to detail.
• Ability to explain technical ideas clearly.
• Good communication and collaboration skills.
• Curiosity and willingness to learn new tools and techniques.