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Build and improve production AI systems using LLMs and RAG pipelines, integrating them with backend services and evaluating performance.
Developer Relations Location: Remote Department: General Developer Relations About Arango: Arango delivers a unified, natively multimodel contextual data platform that powers AI agents, assistants, and applications…
Data Analyst builds and optimizes data pipelines and semantic marts for an AI Business Assistant in Sberbank’s SME banking unit, enabling LLM-powered chat interactions and business insights.
Embed with a global manufacturer to design and ship governed agentic search workflows using Python/C# and enterprise search engines, bridging customer needs with Sinequa’s AI platform.
Designs and deploys AI-driven workflows (agentic systems, RAG, automation) for an edtech SaaS company, leading a small team to scale AI capabilities in production environments.
Allara is a comprehensive women’s health provider that specializes in expert, longitudinal care that supports women through every life stage. Trusted by over 60,000 women nationwide, Allara makes expert healthcare…
Build and deploy production-scale AI systems at Adobe, focusing on LLMs, RAG pipelines, and Agentic workflows using Python, cloud platforms, and GenAI libraries.
Build full-stack web apps and integrate AI features using modern stacks (React, Node.js, Python, Java/Spring Boot) and cloud platforms (AWS/Azure/GCP), while leveraging AI coding assistants daily.
Build and maintain full-stack enterprise apps using React, FastAPI, Python, and AWS, integrating AI/ML features and DevOps practices for a biotech company.
Lead a team building AI-enabled financial applications in Java/Spring Boot, designing scalable systems and agentic workflows on AWS and Kubernetes.
Design and build AI-native legal workflows and automation systems that integrate AI models, CRMs, document systems, and client portals to deliver scalable legal services.
Leads engineering teams to design and deliver cloud-native financial platforms, driving cross-product collaboration and aligning tech strategy with JP Morgan Chase’s fintech goals.
Lead AI/ML architecture and development for fintech products, building and deploying production-grade generative AI systems including LLMs and RAG pipelines.
Build and maintain APIs and MCP servers that expose ML models from Databricks to internal apps and AI agents, ensuring reliability, security, and scalability.
Build, document, and optimize production-grade AI/ML pipelines and model integration layers using Python, PyTorch, and vector databases.
Designs and governs the firm’s enterprise AI architecture, including LLM-powered systems, agent orchestration, and secure data integrations for legal and advisory workflows.
Builds and deploys secure enterprise AI workloads by writing production code, designing low-latency topologies, and integrating Prisma AIRS with microservices and multi-cloud architectures.
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,…
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