Forward Deployed Engineer

Requirements:
Bachelor's degree in Computer Science, Software Engineering, Statistics, or a related field with 7-10 years of relevant professional experience.
Strong production experience with Python and JavaScript/TypeScript across backend and frontend.
Hands-on experience with modern frontend frameworks (such as Next.js or React) and backend API development.
Production experience with cloud platforms (AWS preferred; Azure or GCP also valued), including infrastructure-as-code tools (such as CloudFormation or Terraform).
Working knowledge of multiple database paradigms, including relational databases (such as PostgreSQL), document databases, and key-value stores (such as Redis).
Experience with CI/CD pipelines (such as GitHub Actions) and a strong understanding of path-to-production practices.
Demonstrable fluency with AI coding tools (such as Claude Code, Cursor, GitHub Copilot, or similar) and experience building agentic engineering workflows.
Hands-on experience building production generative AI applications (LLM integrations, vector databases, RAG systems) is essential.
Experience with data analysis, statistical modeling, or machine learning in a professional context is required. This could include exploratory data analysis, building regression or classification models, A/B test design, or integrating ML predictions into software products.
Familiarity with data science tooling (such as pandas, scikit-learn, or equivalent) and comfort working in Jupyter notebooks or similar environments.
Experience navigating ambiguous problem spaces, working directly with business stakeholders and end users, and shipping working solutions rapidly is strongly valued.
Experience in an embedded, forward-deployed, or consulting-style engineering model is a strong plus.

Experience
7-10 yrs