Job Description

We're looking for a curious and motivated engineer to join our AI team. You'll help design, build, and ship intelligent systems — from LLM-powered features to ML pipelines — while learning from senior engineers in a fast-moving environment.

Responsibilities:

• Build and integrate AI/ML features into production applications using large language models and other ML techniques.
• Design and maintain data pipelines for training, fine-tuning, and evaluating machine learning models.
• Collaborate with product and design teams to translate requirements into AI-powered features.
• Write clean, well-tested Python code and contribute to shared ML libraries and tooling.
• Monitor and evaluate model performance in production; iterate on prompts, parameters, and architectures.
• Document experiments, findings, and system designs clearly for the team

Requirements

Requirements:

• Bachelor's degree in Computer Science, Engineering, Math, or a related field (or equivalent practical experience).
• Proficiency in Python and familiarity with ML libraries such as PyTorch, TensorFlow, or scikit-learn.
• Basic understanding of machine learning concepts: supervised learning, embeddings, transformers.
• Experience working with APIs, REST services, and cloud platforms (AWS, GCP, or Azure).
• Strong communication skills and a growth mindset.

Nice to Have:

• Hands-on experience with LLM APIs (OpenAI, Anthropic, Cohere) or open-source models (LLaMA, Mistral).
• Familiarity with RAG architectures, vector databases (Pinecone, Weaviate, Chroma).
• Knowledge of MLOps tools: MLflow, Weights & Biases, or similar.
• Contributions to open-source AI/ML projects or personal AI side projects.
• Experience with prompt engineering and fine-tuning workflows