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Leads full-stack enterprise software development, designing scalable architectures and implementing mission-critical solutions using Java/Spring Boot, AWS, IBM tools, and AI-driven workflows.
This senior full-stack developer role focuses on building scalable enterprise applications using Java, Spring Boot, and Angular while leveraging AI-native tools throughout the software development lifecycle. The developer will work on microservices, CI/CD pipelines, and database management while mentoring junior team members.
Lead AI Engineer designing, building, and deploying AI-powered applications using LLMs, RAG, and agentic workflows (LangGraph), with full-stack skills in Next.js, React, and Python backends for a client-services consultancy.
Principal engineer sets AI-agent direction, builds primitives, and codes full-stack while defining standards for travel loyalty platforms used by millions.
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.
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.
Senior Product Manager shaping AI-driven financial intelligence experiences for investors, curating company/industry profiles and monitoring tools to streamline due diligence workflows.
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.
Builds and maintains AI-powered APIs and agent systems using FastAPI and AWS, focusing on LLM orchestration, testing, and scalable cloud deployments.
Build production-grade, tool-augmented AI agents using LLMs, RAG, and agent orchestration frameworks, integrating them with enterprise systems and enforcing safety policies.
Design, build, and optimize enterprise-grade AI agents and solutions, combining deep AI/ML technical expertise with strategic consulting to translate complex business challenges into production-ready architectures.
Build secure .NET applications powered by LLMs and Azure AI services, implementing RAG pipelines and cloud-native services on Microsoft Azure.
This role involves building an agent evaluation platform to measure and improve AI agent performance through calibrated judges and reward models. You will design rubrics, calibrate against human labels, and develop methodologies to train agents using LLM-based evaluation.
The Automation and Workflow Architect designs and builds scalable automation solutions using AI (Gemini), API integrations, and process mapping to improve operational efficiency. The role requires strong programming skills and the ability to track and present the ROI of technical solutions to leadership.
Центр практического ИИ — подразделение Сбера, которое занимается созданием AI-решений и агентных систем, а также их внедрением в бизнес-процессы банка. Сейчас мы ищем в команду Data Scientist'а. На проекты по…
Principal Software Developer at Elastic to lead the architecture and performance of Elasticsearch's core storage and query engine, primarily using Java for observability workloads.
Principal Software Engineer designs and optimizes Elasticsearch’s core storage and query engine for observability workloads, focusing on performance, scalability, and Java-based systems.
Senior Software Engineer on Elasticsearch's Storage Engine team, building and optimizing core storage/query technologies for observability workloads using Java and distributed systems.
Senior Software Engineer to design and optimize Elasticsearch's core storage and query engine for observability workloads, focusing on performance, scalability, and Java-based distributed systems.
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