127 rag engineer jobs at 77 companies in Westminster, MA
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Applied AI Engineer
Canada or San Francisco or Raleigh or Boston
HybridFull Time
MaintainX: Modern maintenance and asset management software platform.
Applied GenAI experience with prompt engineering, structured outputs, RAG, evaluation datasets, production LLM features, multimodal inputs, and model quality, cost, and latency optimization.
Bucharest or Boulder or Boston or Chicago or Glendora or Richmond or London or Auckland
lei16k-lei19k/moHybridFull Time
Yes Energy: Private power-market data and analytics serving traders, utilities, asset managers, and energy developers.
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.
Optimizely: Optimizely is the AI platform for marketing, built for the experience-makers who shape how brands show up in the world.
3+ YOE3+ years customer-facing technical experience, programming in JavaScript/TypeScript/Python, API integration, RAG and embedding workflows, prompt engineering, troubleshooting, and strong communication skills.
JavaScript, TypeScript, Python, Optimizely AI (Opal), CMS, CMP, Web Experimentation, Feature Experimentation, ODP
Tata Consultancy ServicesBSE: 532540: Global leader in IT services, consulting, and business solutions.
12+ YOERequires 12–15 years of experience with Python, generative AI, LLMs, prompt engineering, RAG, vector databases, PyTorch or TensorFlow, Azure AI/ML, MLOps, Databricks, and agentic AI frameworks.
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.
$174k-$252k/yrOnsiteFull Time
GoogleNASDAQ: GOOG, GOOGL: Global technology specializing in internet-related services and products.
5+ YOE5 years software development; AI systems on cloud; production-grade AI solutions; customer engagement; data pipelines with vector DB/RAG
Prime MedicineNasdaq: PRME: Public biotechnology developing gene-editing therapies for patients with genetic diseases using its Prime Editing platform.
5+ YOERequires 5+ years of production engineering experience, or 3+ with an MS or PhD; strong Python, AWS, event-driven architectures, Terraform or CDK, Docker, Git, CI/CD, testing, and scientific data integration experience.
5+ YOE5+ years of software engineering experience; TypeScript, APIs, LLMs, agent frameworks, RAG, AWS, CI/CD, AI security, and developer tooling experience; bachelor's degree in computer science or engineering or equivalent experience.
Axella Biosciences: AI-enabled manufacturing operating partner for biotech companies.
7+ YOE7+ years in software engineering with end-to-end production systems; experience owning LLM-powered systems (RAG, agents); strong cloud and code-quality practices.
Boston Consulting Group: Global management consulting firm driving business transformation and strategy.
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.
San Francisco or New York or Boston or United States
$200k-$350k/yrFieldFull Time
Edison Scientific: For-profit AI building autonomous scientist agents for biopharma R&D teams and researchers.
2+ YOE2+ years professional software engineering; strong Python and/or TypeScript/JavaScript; experience deploying LLM/agentic AI systems, RAG pipelines, prompt engineering, and production integrations; 20-40% travel; degree in CS/related or equivalent experience.
San Francisco or McLean or Cambridge or San Jose or New York City
$294k-$335k/yrOnsiteFull Time
Capital OneNYSE: COF: A technology-driven bank providing diverse financial services.
6+ YOEBachelor's or Master's in CS/Engineering/AI with 6–8+ years building and deploying scalable AI/ML systems; strong programming in Python/Go/Scala/Java and experience with agentic frameworks, cloud platforms, and LLMs.
Waters CorporationNYSE: WAT: Public U.S. life-sciences and diagnostics providing analytical instruments, software, and services to regulated laboratories.
8+ YOERequires 8+ years in software, platform, cloud, or machine learning engineering; technical leadership of enterprise or cloud-native platforms; production AI experience; and expertise in cloud, distributed systems, security, and deployment practices.
Charles River Development: Financial technology providing investment management software and services to asset managers, asset owners, insurers, and wealth managers.
2+ YOEHands-on engineer with 2+ years building production AI systems: LLMs, RAG, agent frameworks, Python (plus Java/C#/TypeScript), cloud platforms (Azure preferred), Kafka/Event Hub, Redis/Hazelcast, and CI/CD practices.
Nebulock: Cybersecurity platform helping enterprise security teams hunt threats and detect abnormal behavior across environments.
4+ YOE4+ years of software engineering experience, including 1+ year building customer-facing agentic systems in production. Requires strong backend fundamentals, agentic architecture, production RAG, evaluations, observability, and AWS or GCP experience.
NineTwoThree AI Studio: NineTwoThree is a private AI product studio delivering custom software and automation for enterprise companies and funded startups.
1.5+ YOERequires 1.5+ years in QA or software engineering, manual web/mobile testing, QA methodology knowledge, REST API and browser DevTools experience, and upper-intermediate English. SQL, LLM, RAG, and RBAC knowledge preferred.
Recorded Future: Cybersecurity threat-intelligence serving businesses and governments with real-time, AI-driven intelligence.
5+ YOEExpert Python and distributed-systems expertise; experience building production AI/ML applications with LLMs, prompt engineering, autonomous agents, RAG, cloud platforms, and engineering workflow tools.
Python, AWS, GCP, Azure, Jira, Git, Large Language Models (LLMs), retrieval-augmented generation (RAG)
HarbourVest Partners: Independent private-markets investment manager serving institutional and private-wealth investors through primary, secondary-investment, infrastructure, and private-credit strategies.
12+ YOE12+ years software engineering and delivery experience, 5+ years technical leadership, strong Python or Java, full-stack, cloud, data engineering, distributed systems, AI/ML, LLM, RAG, and agentic systems expertise.