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Strong employer brand plus a popular early-career ML role yields moderate competition.
Role demands ML/AI-specific skills (LLMs, RAG, embeddings), so domain background is highly important.
Explicit 2+ years plus mandatory Python, LLM/RAG, cloud and SQL skills increases shortlisting rigor.
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Develop and ship production AI features including LLM integrations, prompt workflows, and retrieval augmented generation (RAG) components.
Run experiments and analysis to evaluate model performance, troubleshoot AI system issues, and optimize operational metrics like latency and cost.
Collaborate closely with product managers and engineers to deliver solutions that serve real users and contribute to AI platform development under mentorship.
2+ years of professional software engineering experience including internships, co-ops, or significant open source contributions.
Strong Python programming skills and experience calling LLM APIs such as OpenAI or Anthropic in projects.
Familiarity with RAG systems, prompt engineering, vector databases, embeddings, or agent patterns.
Bachelor's degree in Computer Science, Data Science, Machine Learning, Engineering or related field, or equivalent experience; Role not eligible for visa sponsorship.
Early-career AI engineers comfortable with hands-on coding and growing under mentorship into AI specialists.
Experienced in production software engineering best practices with exposure to modern AI frameworks (e.g. LangChain, Hugging Face).
Able to analyze, evaluate, and optimize AI system components and collaborate effectively with cross-functional teams.