Who You Are

You have hands-on experience or strong foundational knowledge in several of the following areas:

• Python programming and data technologies (SQL, APIs, basic data pipelines).

• Building small-scale microservices or automation scripts.

• Working with LLM APIs (Azure OpenAI, Gemini, Hugging Face, Anthropic).

• Exposure to GenAI concepts (prompting, embeddings, finetuning, vector search)

• Basic experience with RAG development and knowledge retrieval

• Understanding of model fine-tuning, vector stores, embeddings concepts.

• Ability to design simple solution architectures using Python & cloud tools.

• Strong analytical and problem-solving mindset.

• Willingness to learn new technologies when the project requires it.

Client-Facing Mindset

• Even at a junior level, you should feel comfortable and excited to grow in these areas:

• Communicating clearly with non-technical audiences.

• Translating business needs into technical requirements (with support).

• Understanding business processes and identifying where AI can add value.

Personal Traits

• Adaptable & Self-Motivated: You are proactive, resourceful, and able to operate independently with minimal handholding.

• Passionate & Positive: You are genuinely excited about AI and its potential to transform industries.

• Creative & Curious: You keep up with AI developments and enjoy experimenting with new tools and methods.

• Ethical & Responsible: You understand the importance of safe, fair, and responsible AI implementation.

Nice to Have

• Experience with building data pipelines, preparing and indexing datasets, and implementing embedding generation and retrieval evaluation for GenAI applications

• Exposure to MLOps, Docker, CI/CD, or cloud platforms (AWS/GCP/Azure

• Hands-on work with agent workflows or multi-step reasoning models

• “Vibe coding” skills - fast prototyping, AI-assisted development, improvisational coding