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Lead the design of scalable document ingestion and vectorization pipelines for financial data, enabling AI-powered analytics and retrieval in a cloud-native environment.
Lead a team to build and deploy large language model applications, fine-tune models, and create agentic AI systems for mission-critical government use cases.
Builds and deploys AI-powered applications by integrating LLMs, developing full-stack features (React/Next.js frontends, FastAPI/Flask backends), and optimizing RAG pipelines with vector databases for scalable, production-ready solutions.
Build, document, and optimize production-grade AI/ML pipelines and model integration layers using Python, PyTorch, and vector databases.
Build and deploy production-ready AI-powered apps using LLMs, full-stack dev, and cloud infrastructure; optimize performance, reliability, and security.
Designs and governs the firm’s enterprise AI architecture, including LLM-powered systems, agent orchestration, and secure data integrations for legal and advisory workflows.
Build scalable data pipelines and AI-facing integrations to power an enterprise data platform and Agentic AI systems using Python, SQL, cloud platforms, and vector databases.
Build and lead AI-native tax software that automates R&D credits and compliance for farmers, manufacturers, and founders using TypeScript, React, and LLM-powered agents.
Build full-stack AI-powered tax software for R&D credits and agricultural incentives using TypeScript, React, and AWS serverless tools.
Builds and ships production-grade AI features for a retail merchandising platform using LLMs, RAG, and agentic AI systems in Python.
Build full-stack features for AI-native tax software using TypeScript, React, and AWS. Work on R&D credits, agriculture incentives, and agentic tax workflows powered by frontier LLMs.
Builds full-stack AI-powered features (React/Python) for SOCOTEC’s global enterprise platform, owning components from design to deployment while collaborating with cross-functional teams.
Build full-stack features in React and Python for an AI platform used across global business units, including LLM integrations and data infrastructure.
Build and deploy AI-driven applications using Python, LLMs, and vector databases to automate IT operations and provide insights for a government contractor.
Be a part of a highly collaborative and high-performing team in a fast-paced start-up environment as they prepare to scale. This is an opportunity to join right before a growth surge—they've begun securing clients,…
Build and deploy enterprise-grade AI applications using LLMs, RAG, AI Agents, and vector search; design scalable backend services and orchestration pipelines for agentic workflows.
Build production-grade AI systems and data pipelines end-to-end, from schema design and ETL to FastAPI services and Next.js frontends, using AI coding agents as a daily accelerator.
Build and maintain the internal AI platform that powers MeridianLink’s products, including model serving, RAG infrastructure, prompt management, and evaluation pipelines.
Lead AI platform engineer designing and deploying enterprise Agentic AI solutions for Fortune 500 customers using LLMs, RAG pipelines, and Java/Python services.
Designs and deploys secure, scalable agentic AI systems (multi-agent architectures, RAG, tool orchestration) for enterprise clients, ensuring reliability, observability, and compliance with safety policies while driving measurable business impact.
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