AI Engineer

Role overview Build and deploy AI-powered features for production software in collaboration with engineers, data scientists, and product teams. The work spans large language models, retrieval-augmented generation, and machine-learning pipelines, from preparing data and evaluating models to integrating them into scalable API-based services. The role suits an engineer with shipped software experience who wants to deepen practical AI skills with mentorship.

Responsibilities - Develop and deliver AI features using LLMs and machine-learning systems. - Build retrieval-augmented generation applications and connect them to vector search. - Prepare data, engineer prompts, and evaluate model behavior. - Integrate models into scalable services through REST APIs. - Collaborate with engineering, data science, and product colleagues on production systems.

Requirements - At least 3 years of professional experience in software engineering, ML engineering, or a related technical field. - Strong Python skills and experience with a machine-learning library such as PyTorch, Hugging Face Transformers, or scikit-learn. - Hands-on experience building applications with LLM APIs and frameworks, including RAG and vector search. - Experience building and integrating REST APIs. - Working knowledge of SQL, Git, and Docker. - Bachelor’s degree or equivalent experience.

Nice to have - Experience deploying and monitoring models on AWS, GCP, or Azure. - Familiarity with model fine-tuning, model serving, or MLOps tools such as LoRA, PEFT, vLLM, MLflow, or Weights & Biases. - Experience with LLM evaluations, guardrails, or agent and tool-use workflows. - Understanding of responsible AI, including bias, safety, and data privacy. - Open-source contributions or a personal AI project portfolio.

Benefits and work setup Full-time, 40-hour-per-week position with a stated base pay range of $79,310–$158,620. The role is eligible for an incentive program and a benefits package that includes health coverage, paid time off, retirement savings, and wellness programs, subject to eligibility.