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Senior AI Engineer designs, builds, and deploys generative AI and enterprise agent solutions on Azure AI/Foundry, integrating with corporate data platforms to drive scalable business impact.
Build and deploy AI-powered applications end-to-end, integrating LLMs, vector databases, and cloud infrastructure for a global infrastructure consultancy.
Lead a team building and deploying AI/ML systems for banking, focusing on LLMs, RAG pipelines, and agentic workflows to enhance customer experiences and internal tools.
Senior Associate in IT Infrastructure/Cloud who automates operations, maintains dashboards, and supports AIOps workflows using cloud-native tools and scripting.
Build autonomous AI agents using Python and LangGraph to orchestrate multi-step reasoning workflows and enable LLMs to interact with enterprise tools via function calling.
Lead AI engineering efforts to build, integrate, and optimize generative AI and RAG solutions using Python, Java, and cloud services like AWS SageMaker and Bedrock.
Senior AI Engineer builds and deploys multi-agent systems and RAG pipelines to automate complex enterprise workflows, integrating with platforms like SAP and Jira using Python, FastAPI, and AWS.
Builds and deploys transformer-based generative AI and NLP systems using PyTorch, LangChain, and vector databases to extract insights from financial data for the PitchBook platform.
Designs AI architectures on Azure for insurance automation, leveraging LLMs, RAG, and agentic workflows to process unstructured documents (e.g., claims, policies) while ensuring scalability, security, and regulatory compliance.
Maintain and operate EXL’s AI Gateway and Agent Builder platforms, ensuring uptime, security, and performance while enabling teams to build and deploy AI agents.
Design and deploy production-grade agentic AI systems using frameworks like CrewAI/LangGraph, integrating LLMs, RAG, and vector databases on cloud platforms.
Lead AI-driven marketing and sales systems for a diversified portfolio, building and shipping LLM-powered products from ideation to production in weeks while collaborating with senior stakeholders.
Build AI-driven backend services and LLM integrations (RAG, vector embeddings) to power Omnissa’s globalization platform using Python, Node.js, and cloud tools.
Build and deploy AI agents and LLM-powered systems for public-safety use cases, using frameworks like LangGraph and Docker/Kubernetes.
Designs and leads enterprise-grade Gen AI solutions for document processing in fintech, focusing on LLMs, RAG, and semantic search to automate document-centric workflows while ensuring scalability, security, and compliance in a regulated environment.
Design and build AI systems and agents for enterprise use, focusing on Python-based scalable applications and AI/ML deployment, with onsite collaboration in Aliso Viejo.
Build and scale the AI-powered marketing platform that automates performance marketing with autonomous agents, using Python, data pipelines, and ML systems.
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that…
Build and evolve AI agents and RAG pipelines that integrate LLMs with corporate systems, optimize inference flows, and ensure scalable, secure production deployments.
Job Title: Generative AI / Agentic AI Engineer Job Description: Build LLM-powered workflows, RAG pipelines, and autonomous agent systems. You'll design prompt chains, tool-calling agents, and memory-augmented AI…
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