JV
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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