103 rag engineer jobs at 59 companies in Griffith, IN
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Lead AI Engineer
United States or Chicago
$198k-$261k/yrRemoteFull Time
Thoughtworks: Global technology consultancy providing software engineering and digital transformation.
Expertise in Python, modern software engineering (CI/CD, testing, version control), GenAI, RAG and vector DBs, containerized deployments on cloud, LLMOps, and proven technical leadership.
CboeBATS: CBOE: Operates global market infrastructure and provides tradable financial products.
Senior engineer to design, build, and govern production agentic AI systems using LLM APIs, RAG, Python, CI/CD, and infrastructure-as-code, with strong AI security, observability, and cross-functional leadership skills.
Integrated Project Management Company: Executes complex strategic initiatives through professional project leadership services.
3+ YOEBachelor's degree in engineering/computer science/data science, 3+ years in software development, data science, or AI/ML, production AI architecture experience (RAG, agents), CI/CD and IaC, Azure cloud engineering preferred, security and sensitive-data handling, stakeholder engagement.
MCP (Model Context Protocol), RAG, CI/CD, infrastructure-as-code, Claude Code, Cursor, Microsoft 365 (M365), Microsoft Azure, Microsoft Container Apps, Microsoft Functions, Microsoft App Service, Microsoft Key Vault, Microsoft App Insights, Microsoft Entra ID, AWS, GCP
Bucharest or Boulder or Boston or Chicago or Glendora or Richmond or London or Auckland
lei16k-lei19k/moHybridFull Time
Yes Energy: Provides real-time electric power market data and trading analytics.
5+ YOEBachelor's in CS/Data/Math, 5+ years software engineering with focus on testing/evaluation or AI/ML tooling, strong Python, experience building evaluation pipelines and LLM eval concepts, familiarity with RAG and production data pipelines.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
8+ YOE8+ years experience in machine learning, generative AI, NLP, LLMs, prompt engineering, RAG, Python/R/SQL/SAS, Databricks; experience deploying and monitoring production ML/AI; healthcare data preferred.
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.
Portland or Boston or Chicago or Dallas or San Jose or Seattle
$185k-$217k/yrRemoteFull Time
WEXNYSE: WEX: Provides global payment processing and business information management services.
8+ YOE8+ years building production ML/AI systems; BS in CS or related (MS/PhD preferred); strong Python/Java/Go/C# skills; LLM, RAG, MLOps, Kubernetes, and cloud experience; excellent communication.
Alvarez & Marsal: Provides management consulting, restructuring, and business advisory services.
10+ YOE2+ Mgmt10+ years full-stack engineering experience, 2+ years tech lead/solution architect experience, Azure and cloud AI deployments, 2–5 years generative AI experience, LLM/RAG/vector DB/embeddings experience, strong stakeholder communication.
JLLNYSE: JLL: Global commercial real estate and investment management services.
5+ YOE5+ years software engineering experience, production LLM/agent engineering, enterprise API integrations, RAG experience, deployed services in cloud, strong communication and problem-solving.
Tradebe: Global industrial waste management and recycling services provider.
3+ YOE3+ years backend/frontend/data development; 1+ years delivering AI solutions (LLMs, RAG, automation); experience with APIs, orchestration, cloud; bachelor's in CS/Engineering/Info Systems or equivalent
Boston or Chicago or Dallas or Los Angeles or Minneapolis or New York City or San Francisco or Seattle or Washington, D.C.
$225k-$304k/yrOnsiteFull Time
West Monroe: Business and technology consultancy specializing in digital transformation.
7+ YOE7+ years in software/data/ML/AI or architecture with hands-on AI engineering; strong Python plus TypeScript/Java/C# experience; experience with LLMs, RAG, agents, MLOps, and hyperscaler AI platforms; ability to work in US without sponsorship.
IFS: Provides enterprise software for asset-intensive and service industries.
Hands-on experience building and shipping production AI and mobile solutions, expertise in prompt engineering, RAG, MLOps, forward-deployed integrations, full-lifecycle engineering, and technical leadership at principal level.
CNANYSE: CNA: Provides commercial property and casualty insurance and risk management.
7+ YOE7+ years systems analysis and application development experience including 3+ years building AI solutions; strong Java, Python, TypeScript skills; experience with LLMs, RAG, GCP, APIs, CI/CD, observability; bachelor’s in CS preferred.
Charlotte or Columbus or Hartford or Naperville or New York
$156k-$234k/yrHybridFull Time
The HartfordNYSE: HIG: Provides property and casualty insurance, group benefits, and wealth management.
8+ YOE8+ years designing and operating enterprise ontologies and knowledge graphs using RDF/OWL/SPARQL; experience with graph stores, LLM/RAG integration, cloud platforms, and semantic modeling for AI and analytics.
Publicis GroupeEuronext Paris: PUB: Global advertising and digital transformation agency holding.
4+ YOE4+ years building production ML/AI solutions; strong ML, statistics, and software engineering; Python; cloud experience; LLMs, RAG, vector search, prompt engineering; data governance and AI guardrails.
Publicis GroupeEuronext Paris: PUB: Global communications, advertising, and digital transformation holding.
4+ YOE4+ years building production ML/GenAI solutions, strong ML/statistics/software engineering, Python, prompt engineering, LLMs/RAG/vector search, cloud experience, AI governance and lifecycle deployment skills.
CognizantNasdaq: CTSH: Provides global information technology and business process outsourcing services.
Generative AI, LLMs, prompt engineering; hands-on with .NET, React, Python; AI/ML architecture design (RAG); model training and optimization; Azure deployment