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[AX AgentX] 데이터 엔지니어(RAG/LLM Pipeline)
Builds and optimizes ETL pipelines, vector databases, and LLMOps for AI services using Python/Java/Scala, focusing on RAG/LLM workflows and multimodal data.
Hiring: Full Stack Developer (AI-Enabled)
Build and ship full-stack web apps while using AI coding assistants daily and integrating LLM features (RAG, chatbots, agents) into products using frameworks like LangChain and cloud AI services.
AI Engineer (GenAI / RAG / LangGraph / Python)
Build enterprise Generative AI apps using Python, RAG, LangGraph, and vector search to create AI agents and chatbots that integrate with knowledge bases and enterprise systems.
Senior AI Engineer
Senior AI Engineer builds and deploys LLM-powered systems (RAG, agents, chatbots) end-to-end, from data pipelines to cloud deployment, and embeds AI into products and processes.
Senior Associate, Generative AI, Data & Analytics, Advisory
Advises clients on generative AI solutions, building chatbots, document tools, and RAG pipelines using Python, LangChain, and cloud AI services like AWS Bedrock and SageMaker.
AI Engineer – Freelancer
Optimize and scale an AI-powered influencer marketing platform’s data pipeline, tuning models and improving semantic search with multi-modal embeddings in a serverless AWS environment.
Machine Learning Engineer III - AI Agent Engineer - Digital and Technology Partners - Onsite/Hybrid
Build and deploy AI agents and LLM-powered systems for healthcare workflows, including RAG pipelines and multi-agent orchestration, while leading technical mentorship and best practices.
AI Engineer (DLP)
Build and deploy autonomous AI agents and RAG pipelines to automate safety training analytics and compliance workflows, integrating with enterprise systems like CRM and LMS.
Generative AI - Senior Manager
Lead enterprise Generative AI initiatives, designing scalable agentic systems, RAG architectures, and AI governance frameworks to deliver production-ready solutions for global clients.
Backend AI Engineer
Build and maintain backend services that power AI agents and retrieval systems for a B2B SaaS that serves restaurants across Latin America, using Ruby, Python, PostgreSQL, and vector databases.
AI Engineer
Build and deploy production AI systems for a global bio-resources company, including GenAI pipelines, document processing, and computer vision for industrial operations.
Software Engineer
Build AI-driven features and autonomous agents for Cisco’s Partner Hub, integrating LLMs and agentic frameworks to automate workflows and deliver predictive insights for partners.
Manager - Python
It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Description We're looking for an Automation…
AI Solution Architect_Boston
Designs enterprise-scale AI agent systems, multi-agent workflows, and RAG pipelines using Python, LangChain, and cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI).
Principal Data Scientist_Boston
Lead enterprise Generative AI strategy, designing advanced RAG architectures and evaluation frameworks to deploy production-grade LLM systems with a focus on accuracy, safety, and business impact.
R&D Software Engineer
Design and build AI-powered systems that automate software delivery workflows, integrating agentic AI into R&D, product management, and DevOps toolchains.
AI Engineer
Build full-stack AI systems and agent integrations for J.D. Power’s Innovation Crew, shipping backend services, APIs, and frontend components that turn AI architectures into production-ready prototypes.
Senior Software Engineer (12-month contract)
Build and maintain AI agentic systems, microservices, and APIs in Python/Java to automate healthcare workflows and integrate with enterprise data sources.
AI Data Engineer H/F
Build and deploy generative-AI applications for enterprise clients, including RAG pipelines, LLM integrations, and AI-native tools using Python, FastAPI, and cloud services like Azure OpenAI.
Senior/Lead Data Engineer - DATA & AI
Build and optimize large-scale data pipelines on Databricks and PySpark, then extend them with LLM evaluation, vector search, and ML model pipelines for AI-powered analytics.