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AI Engineer
ResponsibilitiesAI Engineer
QualificationsAI Engineer
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Real Estate • Sales • Software • PropTech
Design and implement multi-step agentic AI workflows (orchestration, retrieval, tool use, state management) using frameworks like LangGraph/LangChain. Build retrieval pipelines over proprietary CRE data, evaluate and monitor model quality with human-in-the-loop processes, integrate Anthropic models on AWS Bedrock, implement guardrails and observability, and rapidly prototype features with Product and Design to deliver trustworthy, source-linked AI capabilities that perform real business actions.
Top Skills:
Anthropic ModelsAws BedrockBedrock AgentcoreCi/CdClaude CodeCodexEmbeddingsGitGitlabLangchainLanggraphPythonRagVector Search
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead technical customer engagements to design, integrate, and launch AI-driven solutions on the Moveworks Platform. Build secure integrations (APIs, iPaaS, serverless), advise on agentic AI roadmaps, drive adoption across enterprise customers, and feed product/engineering with field feedback. Travel to customer sites up to 25% and generalize solutions into reusable templates.
Top Skills:
Aws LambdaAzure FunctionsContext EngineeringData ModelingGoJavaScriptLarge Language ModelsMoveworks PlatformPrompt EngineeringPythonRest ApisServicenow Flow DesignerWorkato
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design, build, and operate production AI and data systems for marketing: LLM/agent orchestration, retrieval pipelines, data pipelines, CDP and warehouse architecture, automation of manual workflows, data quality and reliability, stakeholder collaboration, and mentoring. Ship production-grade Python and SQL solutions and evaluate/monitor AI systems.
Top Skills:
Agent OrchestrationAPIsBigQueryClaude CodeCursorCustomer Data Platform (Cdp)Data WarehouseDatabricksDbtEltETLHightouchLlmsMarketing AutomationPythonRetrieval PipelinesSalesforceSegmentSnowflakeSQLWeb Analytics
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
