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Build and lead Prophet’s MAIA multi-agent AI platform, defining architecture, prototyping solutions, and shipping production-grade AI systems that integrate with enterprise workflows.
Builds and ships production-grade AI features for a retail merchandising platform using LLMs, RAG, and agentic AI systems in Python.
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 secure AI-powered web apps in a restricted DoD environment using Python, React, and RAG pipelines with LLMs like Llama 3.
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 and deploy LLM-based AI agents and NLP systems for a new fintech product, including prompt engineering, RAG, and agent orchestration with LangGraph and MCP.
Build and ship agentic AI prototypes (RAG, LLM inference, agents) from notebook to production, evaluate them rigorously, and collaborate with engineers to integrate into a Predictive Revenue System.
Build and deploy an AI-powered dental practice assistant (voice/SMS/web) and the Python-based backend services that power it, ensuring HIPAA-compliant, low-latency interactions.
Build and maintain the internal AI platform that powers MeridianLink’s products, including model serving, RAG infrastructure, prompt management, and evaluation pipelines.
Build and lead high-performance, cloud-native backend systems using C++, Java/Spring Boot, and Python/FastAPI, while mentoring teams and shaping scalable microservices architecture on AWS and Kubernetes.
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.
Company Overview ImmunityBio, Inc. (NASDAQ: IBRX) is a commercial-stage biotechnology company developing cell and immunotherapy products that are designed to help strengthen each patient’s natural immune system,…
Design and build AI systems using LLMs, agent frameworks, and RAG pipelines in Python/R, integrating with cloud services and deploying production-ready AI solutions.
Build and deploy an AI platform for federal agencies; integrate GenAI features, write full-stack code, and embed with customers for 60-180 days.
Build and refine an LLM-based AI tutor that asks learners better questions, tracks understanding gaps, and delivers adaptive learning via FastAPI and Python.
Build and deploy LLM-powered multi-agent systems using Google ADK or LangGraph, focusing on RAG, tool use, orchestration, and production-grade reliability.
Build and deploy GenAI applications using Python, LLM frameworks (LangChain/Semantic Kernel), and cloud-native tools (Kubernetes, Azure/AWS) to create scalable AI solutions for clients.
Build AI-powered digital avatars that sync lip movements, micro-expressions, and head poses with audio using multimodal models (ViT/VLM) and RAG agents.
Build and deploy AI systems (LLMs, agentic workflows, RAG) on Azure to power internal knowledge discovery and decision-making at a global nonprofit.
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