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Build and deploy enterprise LLM applications, RAG systems, and AI agents using open-source models (DeepSeek, Qwen, Kimi) and frameworks like LangChain and vLLM.
Senior Software Engineer at Compass in NYC builds AI-driven automation pipelines and integrations for real estate operations, using LLMs, RAG, and cloud-native tools to streamline workflows across departments.
Build and deploy AI agents for customer support teams, integrating with tools like Zendesk and Intercom to automate workflows and improve resolution rates.
AI/ML engineer modernizes legacy COBOL insurance systems by integrating LLMs, APIs, and AWS workflows to automate document summarization and underwriting processes.
Analyzes healthcare data to build BI dashboards and reports using SQL, Tableau/PowerBI, and ML, translating metrics into actionable insights for a non-profit community health network.
The Forward Deployed Engineer (FDE) is a hands-on AI professional who combines strong technical expertise with consulting and business partnering skills. Embedded within functions such as Operations, Finance, Sales,…
Design and deploy autonomous AI agents using LLM/RAG to automate media planning, ad buying, and financial audits for an ad-tech client, covering the full lifecycle from modeling to production.
Designs and builds autonomous AI agents with multi-step reasoning using LLMs (e.g., AutoGen, Microsoft Agent Framework) while owning microservices development, testing, and deployment in containerized environments.
Build and deploy autonomous AI agents using LLMs and agentic frameworks (AutoGen) while developing scalable Python microservices with FastAPI and Kubernetes.
Build and deploy generative-AI solutions using LLMs, RAG, and AI agents in Python on AWS, integrating with enterprise systems for a U.S. client.
Senior full-stack engineer building enterprise web apps with .NET Core backend and React frontend, leading AI-assisted development, mentoring engineers, and modernizing systems on Azure/AWS.
A Technical Product Manager at The Agency Fund bridges NGOs and engineering teams to build data infrastructure, run experiments, and scale impact. Daily work includes partner discovery, roadmapping, hands-on SQL/data pipeline work, A/B testing, and coaching teams—all while embedding with global development orgs in East Africa and South Asia.
Design and build AI-driven finance systems—agentic workflows, ML forecasting models, and automation—partnering with FP&A, Accounting, and Treasury to deliver production-grade solutions that improve planning and reporting.
Build and deploy ML models and LLM-powered agents to automate data analysis and workflows for a global financial markets data provider.
Arlyn AI – AI-Powered Insights for Life Science Arlyn AI (Formerly Quantile) is a New York–based, fast-growing stealth AI startup expanding patient access to life-changing medicines while reducing commercial costs for…
Build and run an enterprise AI platform integrating multiple LLM providers, deploy autonomous agents for business workflows, and implement RAG systems with safety and governance controls.
Builds and deploys LLM/NLP-based AI agents, RAG systems, and GenAI pipelines using Python, FastAPI, and PyTorch for enterprise clients.
AI Solutions Analyst builds quick Python or low-code AI prototypes for clients, turns vague business pains into structured AI solutions, and deploys working demos to validate hypotheses in days.
Build and maintain data pipelines and infrastructure to support Merck’s healthcare and pharmaceutical operations using modern data engineering tools.
Builds and maintains robust LLM-based AI agents and RAG pipelines, designs multi-step reasoning workflows, and implements quality evaluation frameworks to ensure reliable, production-grade AI systems.
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