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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