Data Engineer / AI Engineer (Agentic AI Platform Financial Data)

Job Title: Data Engineer / AI Engineer (Agentic AI Platform – Financial Data)

Location: Philadelphia, PA (Hybrid)

Duration: 12+ months contract

About the Role:

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

What Makes This Role Interesting

• Work on high-accuracy AI systems where correctness matters

• Solve real problems around:

• LLM reliability and hallucination mitigation

• Data consistency across conflicting sources

• Real-time vs correctness tradeoffs

• Build systems used in financial decision-making workflows

• High ownership over core architecture in an early-stage environment

Nice to Know (but not required)

• Experience with orchestration tools (Airflow, etc.)

• Exposure to evaluation frameworks for LLMs

• Experience working with large-scale document processing

Tech Stack (Representative, not exhaustive)

• Python, APIs, async processing

• LLM APIs + embeddings

• SQL / NoSQL databases

• Cloud infrastructure (AWS)

• Data pipelines and streaming systems

• Vector Databases

Best Regards,

Ashish Singh

Truehire Staffing,

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

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