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Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, RAG, and evaluation frameworks while collaborating with AI Engineering teams.
Build and tune NLP and generative-AI models using prompt engineering, fine-tuning, RAG, and vector databases, then deploy them with Docker and GPU training.
Design, build, and deploy AI/ML models and services, including generative AI and RAG systems, while ensuring responsible AI practices and robust MLOps pipelines.
Build and maintain the AI platform infrastructure that powers Plum’s fintech app, using Python, FastAPI, and agentic frameworks on GCP.
Builds full-stack Python applications with Django/Flask/FastAPI, automates internal tools, and collaborates with legal and production teams to turn spreadsheets into scalable software.
Build and maintain AI agentic backend systems using Python, LangChain/LangGraph, and vector databases to power autonomous workflows and RAG pipelines for business intelligence.
Build and maintain iOS apps in Swift/SwiftUI for a benefits-market client, focusing on clean architecture, modularization, and CI/CD pipelines.
Builds and scales a full-stack platform that orchestrates multiple AI models (LLMs, image, video, voice) into end-to-end content-generation workflows using Node.js, React, AWS serverless, and databases.
Lead GenAI and voice/audio ML infrastructure at a healthcare SaaS company, designing scalable platforms so product teams can ship AI-powered features like Call Intelligence and AI Receptionist.
Build and maintain scalable data pipelines, vector stores, and LLM-driven BI systems using Python, Spark, and cloud ML services to power real-time AI applications.
Build and maintain cloud-native data pipelines and vector search infrastructure on AWS, Terraform, and Pinecone to power AI-driven products with multi-tenant architectures.
Build and maintain full-stack banking applications using React for the frontend and Java for backend services, designing REST APIs and integrating systems end-to-end.
Build and maintain scalable data pipelines, ETL/ELT workflows, and Tableau dashboards to transform raw data into actionable insights for clients.
Build and own the Snowflake/dbt pipeline that powers Sovos’s US revenue data chain, transforming billing and deferred revenue into close-ready financial outputs for FP&A and leadership.
Senior Data Engineer builds and maintains a Snowflake/dbt pipeline that turns billing and revenue data into close-ready financial outputs for FP&A and leadership, ensuring reliability and documentation quality for both finance and AI consumers.
Build and deploy AI solutions (LLMs, RAG, ML) to optimize Safran Aircraft Engines’ customer support and service operations, translating business needs into robust, explainable models.
Build AI-powered data visualization features for Datadog’s dashboards and investigations, blending LLM-driven insights with reliable, scalable systems.
Build and deploy AI solutions (LLMs, RAG, ML) to improve customer support and service operations, translating business needs into robust, explainable models and driving adoption across teams.
Design and build scalable GCP data pipelines and deploy agentic AI systems using Vertex AI, LangChain, and RAG for enterprise clients.
Builds and maintains back-end and full-stack systems for vehicle electronics, ensuring high availability and security in an industrial Agile environment.
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