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Mid-level AI Engineer/Data Engineer

Jobs via Dice

US · On-site Full-time Mid Level 1mo ago

About the role

About

Dice is seeking a Mid-level AI Engineer/Data Engineer to work on a platform that converts unstructured financial data into high-quality, structured datasets for financial institutions. The role involves designing data pipelines, building extraction workflows, and ensuring data quality and reliability in production environments.

Responsibilities

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

Skills

  • 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)
  • 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

Company Overview

Dice is a job-searching platform for technology professionals. It is a sub-organization of DHI Group. It was founded in 1990, and is headquartered in Santa Clara, California, USA, with a workforce of 201-500 employees. Its website is http://www.dice.com.

Skills

API developmentAWSData EngineeringETLKafkaLLMNoSQLPythonRAGSQLVector databases

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