Mid-level AI Engineer/Data Engineer

Job Title: Mid-level AI Engineer/Data Engineer ( EAD)

Location: Philadelphia, PA

Duration: 12+ months contract

Interview: in-person

Should have: • 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

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

The challenge is not just applying LLMs—it’s making them reliable in production for financial workflows.

What You’ll Work On • Designing pipelines that process high-volume financial documents (batch + near real-time) • Building LLM-powered extraction workflows ( classification, parsing, summarization ) • Implementing validation layers (rule-based + model-based) to reduce hallucinations • Developing retrieval systems using embeddings and vector search • Architecting end-to-end systems: ingestion → processing → storage → serving • Ensuring data quality, observability, and fault tolerance • Collaborating with product to turn messy data into usable financial intelligence

Core Requirements • 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

Best Regards,

Ashish Singh

Truehire Staffing,

5900, Balcones Drive Suit 100, Austin, TX, 78731

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