Leverage Edu - Artificial Intelligence Engineer

About the Role :

We are looking for an AI Engineer with hands-on experience in implementing AI/LLM-based solutions, particularly using GPT and related large language models. The ideal candidate should be comfortable working with APIs, fine-tuning models, prompt engineering, data pipelines, and integrating AI capabilities into production-grade applications.

Key Responsibilities :

- Design, develop, and deploy AI-driven features leveraging LLMs (GPT, open-source models, APIs).

- Build workflows for prompt engineering, fine-tuning, embeddings, vector stores, and RAG pipelines.

- Integrate LLM capabilities into internal tools, user-facing apps, and automation systems.

- Work closely with product & engineering teams to convert business use-cases into scalable AI solutions.

- Evaluate different models, frameworks, and inference strategies for performance & cost optimization.

- Research new AI capabilities and drive experimentation.

Required Skills & Experience :

- 12- 18 months of hands-on experience working with AI/ML projects, preferably LLM-focused.

- Proficiency with Python and frameworks like LangChain, Transformers, Hugging Face, OpenAI APIs.

- Experience with embeddings, vector DBs (Pinecone, ChromaDB, FAISS), and prompt engineering.

- Understanding of ML concepts such as fine-tuning, tokenization, model inference, and evaluation.

- Familiarity with cloud deployment (AWS/GCP/Azure) and containerization.

Good to Have :

- Experience building agents or RAG-based systems.

- Exposure to multimodal models (text, voice, image).

- Knowledge of open-source models (Llama, Mistral, Phi, etc.).

- Previous experience in building automation tools using AI.

Who You Are :

- Problem-solver with a bias towards building fast and iterating.

- Curious and up-to-date with the GenAI ecosystem.

- Comfortable working in a fast-paced, high-ownership environment.