Mid-level AI Engineer/Data Engineer

Dice is the leading career destination for tech experts at every stage of their careers. Our client, TrueHire Staffing LLC, is seeking the following. Apply via Dice today!Job Title: Mid-level AI Engineer/Data Engineer ( EAD)Location: Philadelphia, PA Duration: 12+ months contractInterview: in-personShould have:Have 4-8 years of software development/engineering with AI and Data Engineering experienceHave worked in the investment management, investment banking area processing FINANCIAL MARKET DATA pipelines, RAG, Vector databasesFluent with Python and API development and streaming systems like Kafka or similarWe 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 sourcesValidate and reconcile outputs across multiple inputsEnsure correctness, traceability, and auditabilityThe challenge is not just applying LLMs—it’s making them reliable in production for financial workflows.What You’ll Work OnDesigning 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 hallucinationsDeveloping retrieval systems using embeddings and vector searchArchitecting end-to-end systems: ingestion → processing → storage → servingEnsuring data quality, observability, and fault toleranceCollaborating with product to turn messy data into usable financial intelligenceCore RequirementsStrong Python and backend/data engineering experienceExperience building production data pipelines (ETL, streaming, or async systems)Solid understanding of distributed systems and failure modesExperience working with LLM-based systems in production: Prompt designOutput validationRetry/fallback strategiesEvaluation and monitoringExperience with data storage systems (SQL + NoSQL)Familiarity with cloud infrastructure (AWS or similar)Preferred ExperienceExperience with RAG / vector search systemsBackground in financial data or capital marketsExperience with streaming systems (Kafka, etc.)Experience building multi-step or agent-style workflowsBest Regards,Ashish SinghTruehire Staffing,5900, Balcones Drive Suit 100, Austin, TX, 78731Email ID:Web: