78 rag engineer jobs at 36 companies in Hellertown, PA
3w
Save
Mark Applied
Hide
3w
AI Orchestration Engineer
Quincy or Berwyn or Princeton or Clifton
$90k-$158k/yrOnsiteFull Time
State StreetNYSE: STT: Provides investment servicing and management to institutional investors.
3+ YOEBachelor's degree and 3+ years in data/AI engineering or related fields; experience with Python, SQL, large-scale data pipelines, RAG, MLOps/LLMOps, and AI governance in regulated environments.
Holtec International: Provides nuclear fuel storage systems and small modular reactors.
3+ YOEBachelor's degree,3-5 years software engineering experience with 2+ years in Generative AI/LLM/RAG,knowledge of MLOps,AI security and governance,experience with agent frameworks and enterprise integrations.
LangChain, Semantic Kernel, LangGraph, AutoGen, Microsoft Copilot Studio, CrewAI
Xactus: Provides verification and credit reporting for mortgage lenders.
3+ YOEBachelor's or equivalent,3+ years building production AI/ML systems,experience with LangChain/LangSmith,Python,FastAPI,AWS,S3,SQL,RAG/semantic search,graph databases;U.S. residency and background checks required.
Vanguard: Provides mutual funds, ETFs, and investment management services.
9+ YOE9+ years data engineering experience with Databricks and AWS; hands-on AI agent deployment (RAG, graph RAG, AgentOps); expertise in lakehouse architecture, Delta Live Tables, Unity Catalog, and orchestration tools.
VerizonNYSE: VZ: Provides wireless, broadband, and telecommunications services to customers.
6+ YOE6+ years relevant experience, 4+ years independently developing and deploying complex ML/propensity models; experience with LLM agents, RAG, cloud data engineering, Python/R/SQL, and stakeholder communication.
CACI InternationalNYSE: CACI: Provides information technology and engineering services for government agencies.
5+ YOEActive TS/SCI clearance, polygraphable, Bachelor’s in Computer Science or related, 5+ years software engineering with strong Python, experience with microservices, RESTful APIs, Git and CI/CD, LLMs/agent frameworks, and Agile practices.
TD BankToronto Stock Exchange: TD: Provide retail, commercial, and wholesale banking and financial services.
10+ YOEBachelor's or graduate degree, 10+ years' relevant experience, 2+ years Python for AI, experience with LLMs/agentic AI frameworks, prompt engineering, and AI security best practices.
Python, LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), LLMs, RAG, GraphRAG, Azure OpenAI, Azure AI Search, embeddings
Coaction Specialty Insurance: Provides specialty property and casualty insurance for commercial businesses.
5+ YOE5+ years building production systems; proficiency in Python/C#/Java; experience with LLMs, RAG, embeddings, vector DBs, ML/LLMOps; cloud experience (AWS/Azure); strong engineering hygiene and AI risk/security awareness.
Bristol Myers SquibbNew York Stock Exchange: BMY: Develops and distributes innovative medicines for serious diseases.
5+ YOE5+ years data engineering experience with cloud platforms, Databricks (Delta Lake, Unity Catalog), Python, SQL, Spark/PySpark, GenAI/LLM (RAG, embeddings), and building production-grade ETL/ELT pipelines and data products.
Xactus: Provider of intelligent verification and credit data for lenders.
3+ YOEBachelor's degree or equivalent; 3–5 years building production AI/ML systems or full-stack applications; Python, FastAPI, SQL, AWS, RAG, semantic search, testing, and code review experience.
CACINYSE: CACI: Provides information technology and professional services to government clients.
8+ YOEActive TS/SCI clearance, B.S. in relevant field, 8+ years experience with 2+ years building LLM applications; experience fine-tuning models, RAG, deployment, Python and ML libraries required.
Guardian Life: Provides life, disability, dental, and vision insurance products.
Advanced knowledge of machine learning engineering, distributed systems, cloud infrastructure, AI platforms, LLMs, RAG pipelines, orchestration, agentic frameworks, secure APIs, and enterprise governance.
Large Language Models (LLMs), retrieval-augmented generation (RAG), model orchestration frameworks, Agentic frameworks, API, cloud infrastructure, AI platforms
5+ YOEBachelor's or higher in CS/Engineering/Science, 5+ years software/cloud engineering experience, strong proficiency with Python/FastAPI and TypeScript/Node, hands-on AWS experience, familiarity with LLM/RAG/agent frameworks and CI/CD/IaC tooling.
Vanguard: Global investment management and financial services provider.
7+ YOERequires 7+ years AI engineering, 5+ years programming, IaC, cloud, and enterprise automation experience, plus 2+ years AI or generative AI development with LLMs, RAG, and vector search.
Large Language Models (LLMs), Terraform, Crossplane, AWS Cloud Platform, Microsoft Azure, Ansible, Harness CD, GitHub Actions, Playwright, Java, Python, Shell scripting, APIs, microservices, vector search, RAG pipelines
MRO: Provides clinical data exchange and medical record management services.
Proven AI/ML engineering with LLM/RAG production experience, HIPAA-aware system design, strong Python and MLOps, experience with vector DBs and cloud (AWS/GCP). Bachelor's required; advanced degree preferred.
Johnson & JohnsonNYSE: JNJ: Develops and manufactures pharmaceutical drugs and medical devices.
15+ YOEBachelor’s degree and 15+ years in enterprise data engineering, architecture, analytics, AI platforms, and cloud engineering; expertise in Azure, Microsoft Fabric, Databricks, Power BI, governance, and generative AI.
Azure, Microsoft Fabric, Databricks, Power BI, Azure OpenAI, Azure AI Services, Electronic Medical Records (EMR), Microsoft Excel, MLOps, LLMOps, CI/CD, DevOps, Infrastructure as Code, Large Language Models (LLMs), RAG, APIs, SRE
Atlanta or Austin or Charlotte or Chicago or Denver or New York City or Philadelphia or San Diego or San Francisco or Seattle or United States
$180k-$250k/yrRemoteFull Time
GlobalLogic: Digital product engineering and software development services provider.
15+ YOESenior architect/engineer with customer-facing experience, strong AI governance knowledge, and experience with modern AI development tools and agentic workflows.
Claude Code, Google Cloud Code, OpenAI Codex, GitHub Copilot, Cursor, Windsurf, LangChain, AutoGen, LlamaIndex, Semantic Kernel, MCP, RAG, Vector Databases