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Senior Software Developer - Performance Tuning - Elasticsearch
Senior Software Developer on the Elasticsearch Performance team, contributing to performance engineering initiatives, optimizing Elasticsearch performance, and working with distributed systems and AI-assisted optimization harnesses.
Staff Engineer, Generative AI Engineer
Design and deploy enterprise-grade Generative AI solutions, including AI agents, RAG pipelines, and multi-agent architectures using Python, FastAPI, and modern AI frameworks.
Senior AI Software Engineer (Java | Spring Boot | Python)
Senior AI Software Engineer building production-grade AI/LLM applications connecting enterprise backend systems using Java, Spring Boot, and Python, with a focus on RAG, vector search, and API integrations.
Data Engineer
Designs, builds, and operates scalable data platforms/ETL pipelines for analytics and AI, working in hybrid/cloud environments (GCC/MCC) using PySpark, Spark SQL, Talend, and supporting GenAI/LLM workloads.
AI-Enabled Full Stack Engineer
Full Stack Engineer using AI-assisted coding tools daily to build end-to-end web applications (Node.js/Python/Golang backend, React/Angular/Vue frontend) and integrate GenAI/LLM capabilities for a Singapore-based consulting firm.
Senior R&D AI Software Development Engineer
Develop AI agents and infrastructure to automate and accelerate EDA workflow solutions for engineering domains, using LLMs, simulation tools, and Python backend services.
Senior R&D AI Software Development Engineer
Build production AI agents and MCP-based orchestration infrastructure that connects LLMs with Keysight's Electronic Design Automation and simulation tools, primarily using Python and modern AI/ML techniques.
Senior R&D AI Software Development Engineer
Develops AI agents and workflow automation for Keysight’s EDA tools, integrating LLMs, simulation engines, and product APIs to automate design-analysis tasks like setup, diagnostics, and optimization.
Senior R&D AI Software Development Engineer
Develop production-quality AI agents, MCP servers, and orchestration layers that connect LLMs with Electronic Design Automation tools and simulation engines using Python and AI/ML methods.
Manager of Applied AI Products
Hands-on AI product leadership role at a healthcare SaaS company, building and shipping LLM/RAG/vector-search features for a clinical software platform while shaping AI strategy, ensuring HIPAA compliance, and engaging directly with health center clients.
Lead Data Engineer (Contract, Full-Time) [HR208]
About Smart Working At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no…
Director, Data Engineering & Analytics
Who we are Who we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane…
Senior Software Engineer, AI Framework Integrations
Build core AI interfaces for MongoDB, including the MCP Server and Agent Skills, enabling developers and AI agents to interact seamlessly with MongoDB at scale.
Full Stack Developer (Generative AI)
Build and deploy cloud-based Generative AI applications using Python or .NET on Microsoft Azure, with React/Next.js for frontend features and full lifecycle ownership.
Senior Data Architect (GCP, Salesforce Data Cloud)
Designs scalable cloud and customer data platforms on GCP/Salesforce Data Cloud, optimizing data flows, governance, and AI readiness while aligning architecture with business needs.
AI Engineer
Build and deploy AI/ML models and RAG pipelines to turn Navy maintenance and logistics data into predictive tools that improve fleet readiness in a DoD GovCloud environment.
AI Full Stack Developer (Remote)
AI Full Stack Developer - Fully Remote Opportunity Location: Remote Job Overview We are seeking a highly experienced AI Full Stack Developer with deep expertise in architecting and building enterprise-grade Generative…
Cloud Architect
Designs and optimizes cloud-based data architectures (Lakehouse/Medallion) using Databricks, Spark, and cloud-native tools to build scalable, secure, and cost-efficient data pipelines for global enterprises.