Mid-level AI Engineer/Data Engineer ( EAD)

We are building a platform that converts unstructured financial data ( emails, corporate actions, index announcements ) into high-quality, structured datasets used by financial institutions. This is not a typical " LLM wrapper" role. You will work on systems that:

• Extract data from noisy, inconsistent sources
• Validate and reconcile outputs across multiple inputs
• Ensure correctness, traceability, and auditability

• Have 4-8 years of software development/engineering with AI and Data Engineering experience

• Have worked in the investment management, investment banking area processing FINANCIAL MARKET DATA pipelines, RAG, Vector databases

• Fluent with Python and API development and streaming systems like Kafka or similar, * Strong Python and backend/data engineering experience

• Experience building production data pipelines (ETL, streaming, or async systems)

• Solid understanding of distributed systems and failure modes

• Experience working with LLM-based systems in production:

• Prompt design

• Output validation

• Retry/fallback strategies

• Evaluation and monitoring

Experience with data storage systems (SQL + NoSQL)

Familiarity with cloud infrastructure (AWS or similar)

Preferred Experience

• Experience with RAG / vector search systems
• Background in financial data or capital markets
• Experience with streaming systems (Kafka, etc.)
• Experience building multi-step or agent-style workflows