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The AI Engineer will develop and deploy multi-agent systems using LLMs, LangChain, and LangGraph to automate financial processes. The role involves building RAG pipelines, optimizing prompts, implementing LLMOps, and ensuring production-grade observability and evaluation for AI agents.
DevOps AI Platform Engineer designing, developing, and maintaining enterprise GenAI solutions (RAG, agentic workflows, conversational AI) on Azure, with CI/CD, LLMOps, and L3 support responsibilities using Python/TypeScript.
Develops AI/ML algorithms for defense applications, integrating models into systems and collaborating with cross-functional teams to solve complex national security challenges.
Designs and optimizes AI agentic systems (e.g., LangGraph, AWS Bedrock) for government clients, integrating LLMs with enterprise tools for workflow automation, testing, and debugging.
Designs and optimizes AI agent systems using foundation models (e.g., Claude Sonnet) to build intelligent workflows for government clients, integrating with enterprise tools and tuning agent behavior for real-world outcomes.
Agentic AI Engineer building AI agent solutions using Python, FastAPI, vector databases, LLMs, RAG, and LangChain/LangGraph on GCP.
Build and maintain AI-powered analytics pipelines and semantic layers that turn enterprise data into trustworthy, actionable insights for business users across procurement, manufacturing, and sales.
Lead enterprise-scale GenAI implementations for Fortune 500 clients, designing and building production-grade LLM, RAG, and agent-based systems using Python, cloud platforms (AWS/Azure/GCP), and frameworks like LangChain.
About the Role: The team: Our Engineering team develops and maintains modern, cloud-based applications and AI-powered solutions that support global business operations. Team members collaborate across Product,…
Senior AI Engineer building conversational AI systems, chatbots, and LLM applications using Python, LangChain/LangGraph/LlamaIndex, and cloud platforms like AWS and Azure.
Develop and maintain AI-driven conversational systems and chatbots while advising customers on GenAI/ML best practices, using Python, JavaScript/TypeScript, LLM frameworks (LangGraph, Llamaindex, DSPy), and major cloud platforms (AWS, Azure, GCP).
Build and deploy AI-powered features using Python, React, and ML frameworks like TensorFlow/PyTorch, collaborating with product teams to ship scalable GenAI applications.
AI Consultant providing technical leadership for building and deploying scalable ML/LLM/SLM applications—including RAG pipelines, custom agents, multimodal systems, and cloud/MLOps infrastructure—on a part-time remote contract basis.
Designs and runs automated tests for AI models, APIs, and cloud pipelines to ensure reliability and accuracy of AI-driven systems using Python and CI/CD tools.
The ML Engineer integrates AI/ML models into production, optimizes inference pipelines, manages CI/CD workflows, and builds Agentic/multimodal AI systems using Python, PyTorch/TensorFlow, Docker, Kubernetes, and cloud platforms.
Builds and deploys generative AI and agentic systems using LLMs, LangChain/LangGraph, and Python to automate workflows and support healthcare applications.
Senior Software Engineer building AML transaction monitoring and batch data pipelines using Scala, Spark, Kafka, and cloud platforms (Azure/AWS/GCP) to support financial crime prevention at a large bank.
Build AI/ML systems that design better clinical trials using GenAI, agentic frameworks, and scientific datasets to cut costs and speed up drug development.
Backend Software Engineer at Cisco building the AI-driven backbone of Cisco IQ—designing scalable backend services, data pipelines, and multi-agent/LangGraph workflows using Python, PostgreSQL, AWS, Docker, and Kubernetes.
Staff Engineer leading architecture, design, and hands-on development of enterprise AI/GenAI solutions—LLMs, RAG, and agentic workflows—using Python, FastAPI, LangChain/LangGraph, and Azure OpenAI at a global life-sciences company.
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