Role Summary
We are looking for a Python engineer with strong AI and NLP experience to join a data analytics initiative. This is a hands-on engineering role combining software development, applied NLP, and LLM integration.
Key Responsibilities
● Design and build Python-based data pipelines
● Integrate with LLM APIs as part of an automated analysis workflow
● Develop logic to analyze and interpret various forms of input data
● Design evaluation frameworks that produce consistent, explainable, and repeatable results
● Build reusable, testable, production-quality code (not just prototypes/notebooks)
● Collaborate with stakeholders to refine evaluation criteria and benchmarks
● Optimize pipelines for scale and reliability
Required Skills & Experience
● Python: Strong professional experience in production-grade code, not just scripting
● LLM APIs: Hands-on experience integrating and working with LLM APIs (e.g. Google Vertex AI/Gemini) — including prompt design, structured output handling, and response evaluation
● Document parsing/ingestion: Experience across common formats (e.g., PDF, HTML, DOCX), including messy or inconsistent sources
● NLP fundamentals: Solid grounding in embeddings, semantic similarity, text classification, quality/readability analysis
● Structured & semi-structured data: Experience handling this alongside unstructured text
● Content organization: Ability to reason about structure (e.g., formatting, hierarchy) as an input to automated analysis
● Data pipelines/ETL: Experience building pipelines for large-scale text processing
● API integration: Familiarity with working within a cloud ecosystem (Google Cloud experience is a plus)
● Evaluation/scoring frameworks: Experience designing or implementing frameworks for qualitative-to-quantitative analysis
● Software engineering fundamentals: Git, testing, code review, CI/CD
Nice to Have
● Experience with retrieval-based or knowledge-base-driven AI systems
● Experience with vector databases or embeddings-based search
● Background in content strategy, technical writing, or information architecture
● Prior work with Google Cloud AI tooling
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