Generative AI Developer

Job not on LinkedIn

🔥 12 hours ago

🌵 Arizona, California, +27 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🏛️ District of Columbia – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote ⚜️ Louisiana – Remote 🦬 Montana – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🎸 Mississippi – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

💵 $83.2k - $124.8k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Marsh McLennan

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1871

⚖️ Legal

📣 Marketing

💸 Finance

Legal • Marketing • Finance

Marsh McLennan is a leading professional services firm that operates in the areas of risk, strategy, and people. With over 85,000 employees worldwide, the company encompasses four main businesses: Marsh, offering insurance broking and risk management; Guy Carpenter, providing reinsurance and capital strategies; Mercer, specializing in health, wealth, and career consulting; and Oliver Wyman, focusing on strategy, economic, and brand consulting. Marsh McLennan is committed to fostering an inclusive culture, empowering its employees, and delivering innovative solutions to clients globally.

📋 Description

• Build, test, and deploy applications powered by large language models and machine learning tools • Review system logs for API errors, latency issues, and deployed-model output quality • Refine and test system prompts to improve response accuracy and reduce hallucinations • Connect LLMs such as GPT-4 or Claude with internal databases using RAG frameworks • Write Python pipelines to process data, embed documents, and manage vector databases such as Pinecone or Milvus • Fine-tune model weights or train smaller open-source models on domain-specific company data • Collaborate with product managers and software engineers to align AI features with user needs • Evaluate applications for safety, bias, and edge-case failures using automated testing tools • Review token usage and API spending to optimize cloud infrastructure costs • Deploy code updates to production using CI/CD pipelines

🎯 Requirements

• Designing and delivering AI-enabled applications and agentic systems in production • Building multi-agent architectures, including planner, executor, reviewer, critic, and supervisor patterns • Developing tool-calling, function-calling, and memory-enabled agents • Using LangChain, LangGraph, and similar frameworks for orchestration and workflow design • Applying DSPy, prompt engineering, and optimization techniques • Building production-grade AI services in Python • Integrating with Anthropic, OpenAI, and open-source models • Designing RAG solutions using vector databases • Integrating AI systems with enterprise platforms through APIs, workflows, events, and data services • Implementing observability, evaluation, and optimization for AI systems, including tracing, decision logging, and performance monitoring • Working within governance, security, privacy, and compliance frameworks, ideally in regulated industries • Leading complex technical delivery while collaborating across engineering, product, business, risk, and compliance teams • Overall 10+ years of technology experience, including delivery of scalable, resilient digital products

🏖️ Benefits

• Generous time off, including personal and volunteering • Tuition reimbursement and professional development opportunities • Remote work • Charitable contribution match programs • Stock purchase opportunities • Health and welfare benefits • 401K savings • Wellbeing programs • Employee assistance programs • Performance-based incentives may be available