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Builds and deploys production-grade AI systems using LangChain/LangGraph, focusing on RAG, agentic workflows, and LLM-powered applications. Translates AI architectures into scalable, observable, and secure cloud-native solutions with Kubernetes, vector databases, and observability tools.
Senior Forward Deployed Software Engineer on ServiceNow's Applied AI team, building and deploying production LLM-powered applications end-to-end for strategic enterprise customers in London, spanning backend services, orchestration pipelines, and front-end integrations.
The Software Developer II will design and develop software for automotive dealerships, with a focus on integrating AI/ML solutions like LLMs into production systems. The role involves working across a full-stack environment, mentoring junior engineers, and collaborating with stakeholders to improve system architecture.
Position: AI Engineer Location: Scottsdale, AZ – Hybrid Duration: Long Term Contract Pay: $50/hr on C2C About the Role We are seeking an experienced AIML Engineer to design, build, and operate AI/ML infrastructure and…
Design and ship AI-powered tools, autonomous agents, and LLM-driven features for ICON's construction technology platform, building agentic AI systems using TypeScript/Python, RAG pipelines, and multi-agent frameworks.
Build and deploy AI agents and LLM-powered tools to automate workflows for ICON's construction technology platform, using Python/TypeScript and modern AI frameworks.
The Staff Product Manager will lead the strategic evolution of Conga's Discovery Agent from template-based extraction to autonomous, agentic AI. This role involves defining multi-quarter product strategies, architecting agent orchestration frameworks, and mentoring product teams to deliver enterprise-grade AI solutions.
Designs and deploys AI/ML solutions (NLP, predictive modeling, generative AI) on AWS Bedrock, integrating LLMs and RAG for enterprise use cases while ensuring scalability, security, and ethical AI practices.
Build production-grade, tool-augmented AI agents using LLMs, RAG, and agent orchestration frameworks, integrating them with enterprise systems and enforcing safety policies.
Build secure .NET applications powered by LLMs and Azure AI services, implementing RAG pipelines and cloud-native services on Microsoft Azure.
Build and scale Java-based microservices and cloud apps, integrate AI agents, and optimize relational databases in a modern DevOps pipeline.
The Data Scientist will design and deliver training programs, mentorship, and technical documentation for data science teams while maintaining hands-on development work. The role requires advanced Python and SQL skills, experience with Git workflows, and an active TS/SCI with Polygraph security clearance.
Build and deploy AI-powered applications for enterprise clients, integrating LLMs and Generative AI into production workflows using Python and TypeScript.
Principal Search Architect designs and scales massive Elasticsearch clusters for Fortune 500 clients, integrating AI-powered semantic search and optimizing distributed systems for high-performance retrieval.
Principal Search Architect designs and scales massive Elasticsearch clusters for Fortune 500 clients, integrating AI-powered semantic search and optimizing distributed retrieval systems.
Design and implement Elastic Stack solutions for enterprise search, GenAI, and RAG, working with clients to optimize performance and deliver scalable search platforms.
Builds autonomous AI agents using Elastic Stack tools to automate complex business tasks, integrating LLMs, RAG, and cloud infrastructure while ensuring security and observability.
Principal Security Research Engineer at Elastic designs and validates AI-driven threat detection rules for Elastic Security, focusing on AI security threats and leveraging AI tools to enhance detection capabilities.
Lead Elastic’s global security services practice, designing and delivering SIEM/endpoint security solutions, aligning with product roadmap and industry trends while driving strategic adoption and high-quality engagements.
Design and build front-end interfaces for generative and agentic AI experiences at Elastic, using React, TypeScript, and the Elastic Stack (ESRE, EUI, Agent Builder) to create streaming, conversational, and multi-modal AI user interfaces for internal enterprise products.
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