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The Claude Solutions Architect is the technical solutioning lead for EXL client engagements built on the Claude (Anthropic) platform. The role designs RAG pipelines, agentic workflows, and MCP-based integrations using…
Role Overview We are looking for a talented Forward Deployed AI Engineer with a passion for software engineering, Generative AI, Agentic AI, and enterprise AI transformation. In this client-facing role, you will work…
Build and scale AI-powered personalized learning tools using TypeScript/Vue 3 and LLM pipelines on a TypeScript/tRPC backend, with optional full-stack contributions.
Build backend services in .NET/C# that power semantic search, contextual linking, and visualization of engineering documents for an AI-driven SaaS platform used by global infrastructure teams.
Build and ship production-grade AI systems—LLMs, agents, retrieval, and evals—from prototype to scalable deployment for high-stakes decision-making.
Senior engineer building enterprise-scale GenAI apps using LLMs, RAG, and agent frameworks; designs backend services and integrates AI into Fortune 500 systems.
Build and deploy LLM-based AI pipelines and services, integrating them into corporate products and systems using Python, RAG, and vector databases.
Develops and maintains cloud-based AI agents and RAG pipelines on Azure, mentors engineers, and ensures production stability for healthcare diagnostic platforms.
Build, fine-tune, and deploy LLMs and generative AI models; develop NLP algorithms, vector databases, and conversational AI systems for production pipelines.
Build and optimize generative AI systems, focusing on RAG pipelines, LLM evaluation, and enterprise-scale deployments to improve retrieval quality and reduce hallucinations.
Build and maintain AI agents using LangChain, AutoGen, or CrewAI to automate workflows and integrate LLMs with tools, APIs, and data sources in Go or Python.
Build and maintain full-stack web apps in TypeScript/Java/Node.js with AI integrations using LLMs, RAG, and vector databases to modernize lending workflows.
Lead the product strategy for Hearst’s enterprise AI content platform, defining capabilities like semantic search, vector embeddings, and knowledge graphs to power AI-driven search, personalization, and generative applications across the company.
ABOUT EVERNORTH: Evernorth ℠ exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care, we solve…
Design and deploy AI-powered cloud systems using Terraform, Kubernetes, and RAG pipelines on Azure/AWS/GCP to serve 300k users while enforcing security and compliance.
Designs and governs data architecture for global engineering platforms, digital twins, and AI-enabled solutions to improve engineering productivity and analytics at a climate-tech company.
Build and deploy GenAI/NLP pipelines for Elsevier’s life-science products, orchestrating ML workflows on AWS/Azure, managing vector/graph search, and enforcing content rights and confidentiality.
Lead generative AI and LLM projects for JPMorgan Chase, building retrieval-augmented systems, evaluations, and production pipelines using Amazon Bedrock and Cortex to improve banking operations.
Own AI-powered product discovery and autonomous shopping features for B2C commerce, defining search and Agentforce workflows with engineering, data science, and UX teams.
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power generative AI applications in finance.
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