115 rag engineer jobs at 61 companies in Woodstock, GA
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GEN AI, RAG Engineer
Alpharetta, Georgia, United States
OnsiteFull Time
InfosysNYSE: INFY: Provides IT consulting, software development, and business outsourcing services.
Experience with generative AI, LLMs and agentic frameworks; cloud AI/ML platforms (Azure,GCP,AWS); strong ML model development, data engineering, MLOps and analytics experience; bachelor’s degree or equivalent experience.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
8+ YOE8+ years experience designing agentic AI and Microsoft Fabric solutions; strong Python, SQL, Spark/PySpark, ontology/semantic modeling, and production engineering skills; knowledge of LLMs, RAG, embeddings, and responsible AI.
LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Azure OpenAI, OpenAI, RAG, embeddings, vector search, hybrid search, Microsoft Fabric, Lakehouse, Warehouse, OneLake, Data Factory, Dataflows, Notebooks, Power BI, Direct Lake, Delta Lake, RDF, OWL, SPARQL, Python, SQL, Spark, PySpark, REST APIs, CI/CD, Git
Florence Healthcare: Digital platform for managing clinical trial documents and workflows.
4+ YOE4+ years related experience building and deploying production AI systems; strong LLM, prompting, embeddings, retrieval/RAG, agentic workflows, API and system design skills; experimentation and evaluation experience.
Forward Deployed Engineer III, Generative AI, Google Cloud
San Francisco or Atlanta or Boulder or Cambridge or Chicago or Addison or Detroit or Irvine or Kirkland or Los Angeles or Miami or Mountain View or New York or Portland or Reston or San Diego or Seattle or Sunnyvale or Washington D.C.
Dallas or St. Petersburg or Tampa or Atlanta or Columbus or Houston
$63k-$262k/yrHybridFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
5+ YOEExperience productionizing GenAI on Databricks and Lakehouse (Delta Lake, DLT, Unity Catalog), building RAG and multi-agent systems, strong Python/Java skills, MLOps/LLMOps and CI/CD experience, and 4–5+ years engineering experience.
NasdaqNASDAQ: NDAQ: Operates global electronic marketplaces and provides financial technology services.
5+ YOE5+ years software engineering experience building production LLM/AI-enabled applications; strong system design and .NET or Java programming; experience with RAG, embeddings, vector search, and AWS Bedrock.
CognizantNasdaq: CTSH: Provides IT consulting and digital business process services.
Deep Oracle SCM Cloud and/or Oracle EBS expertise with AI-enabled SDLC experience, including development, testing, DevOps, prompt engineering, RAG, and measurable AI adoption outcomes.
Boston Consulting Group: Global management consulting firm specializing in business strategy and transformation.
8+ YOEBachelor’s or Master’s degree in Computer Science, Engineering, or related field; 8–10 years in database, platform, or infrastructure engineering; PostgreSQL, AWS-managed databases, Terraform, CI/CD, and large-scale database expertise.
VerizonNYSE: VZ: Provides wireless, broadband, and telecommunications services to customers.
4+ YOEBachelor's degree or 4+ years' experience; 4+ years relevant experience; expertise in ML, LLM agents, RAG, cloud data engineering, Python, R, SQL, and production model deployment.
Lawdie: AI-native back office platform for law firms
2+ YOE2+ years software engineering or equivalent portfolio, strong programming fundamentals, experience with LLMs/RAG/embeddings/agents, familiarity with PDFs and contract data, strong writing and product judgment.
AccentureNYSE: ACN: Global professional services firm providing consulting and technology solutions.
4+ YOERequires a bachelor's degree or equivalent experience, 4+ years in knowledge graph technologies, 2+ years in ontology, semantic modeling, graph solutions, databases, and agentic pipelines, plus Python and cloud experience.
San Francisco or Atlanta or New York City or London or Paris or Madrid or Munich or Singapore or Tokyo or Sydney
OnsiteFull Time
Sierra: Conversational AI platform for building enterprise customer agents
Experience building and scaling production systems, strong problem-solving and communication skills, customer collaboration, and ideally AI/LLM, agent tooling, RAG, React, TypeScript, or Go experience.
New York City or United States or Raleigh-Durham or Atlanta or Philadelphia
$150k-$300k/yrHybridFull Time
Sciemo: AI-powered business planning platform for consumer brands.
Production experience launching LLM or agent products; strong Python; agent frameworks, RAG, prompt engineering, evaluation systems, ML tools, orchestration workflows, and technical communication skills.
Bain & Company: Provides global management consulting and strategy advisory services.
2+ YOEBachelor's degree or equivalent practical experience; 2+ years building software, data, or ML systems; Python, testing, code review, RAG, MLflow, Docker, Git, and production pipeline experience.
Insight Global: Provider of staffing services and workforce solutions.
3+ YOE3+ years software engineering experience with ≥1 year building LLM-powered systems; practical experience in RAG, agent orchestration, or fine-tuning; proficient in Python; experience with eval datasets and observability tooling.
Aptean: Provider of purpose-built, industry-specific enterprise software solutions.
Advanced Python, machine learning and generative AI development and deployment experience; proficiency with RAG, LangGraph, LangChain, NLP, LLM techniques, data integration, and technical troubleshooting.
Chicago or New Jersey or Atlanta or Dallas or United States
$73k-$174k/yrHybridFull Time
CapgeminiEuronext Paris: CAP: Provides global IT consulting and digital transformation services.
2+ YOERequires 2–4 years in software engineering, backend development, machine learning, NLP, or related fields; Python, LLM APIs, RAG, AWS, Docker, Kubernetes, NLP, and AI application deployment experience.
RIB Software: Provides software solutions for the global construction industry.
6+ YOE6+ years data engineering experience building production-grade pipelines, Azure data platform experience, SQL and data modeling skills, familiarity with vector DBs/RAG, observability, and strong stakeholder communication.
GitHub Copilot, Claude Code, Cursor, SQL, MS SQL, Microsoft Azure Synapse, Microsoft Data Factory, Microsoft Fabric, Microsoft Azure SQL, Cosmos DB, Delta, Iceberg, Vector databases, Managed Identity, RBAC, Microsoft Key Vault, Git, CI/CD