Forward Deployed Engineer — Data Engineering & GenAI

About the role

We are looking for a Forward Deployed Engineer with deep expertise in data engineering and generative AI to work directly with our customers and internal teams. You will translate ambiguous business needs into concrete technical solutions, build scalable data and AI pipelines, and collaborate closely with non-technical stakeholders across operations, compliance, and finance.

Requirements

• 8+ years of data engineering or software engineering experience, ideally with large-scale financial or transactional data
• Strong SQL skills, with hands-on BigQuery (or equivalent modern data warehouse) experience
• Proficiency in Python and/or Java for pipeline development and automation
• Experience with GCP (BigQuery, Cloud Composer/Airflow, Dataflow, Pub/Sub, or equivalents)
• Hands-on experience building with LLMs—prompt engineering, function/tool calling, or RAG pipelines
• Understanding of ETL/ELT design, data modeling, and performance tuning at scale
• Excellent communication skills—able to translate ambiguous business asks into concrete technical specs (data or AI-based)
• Comfort working directly with non-technical stakeholders (ops, compliance, finance) and adapting quickly to their domain
• High tolerance for ambiguity, shifting priorities, and production firefighting

Preferred Qualifications

• Experience building with Claude, OpenAI, or similar LLM APIs in production or internal-tool contexts
• Familiarity with MCP (Model Context Protocol)—building or configuring MCP servers/skills that connect LLMs to internal tools
• Experience with vector databases and embedding-based search for RAG applications
• Experience with financial reconciliation logic (PDA/CASH/VDA/SDA-type matching, or equivalent)
• Prior exposure to AI adoption/usage analytics, cost monitoring, or slot/performance optimization at scale