AI-augmented Software Developer

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox AI-augmented Software DeveloperFull-timeCompany DescriptionWe are looking for a highly skilled AI-augmented Engineer with strong engineering experience and deep hands-on exposure to AI SDLC, autonomous agents, multi‑agent systems, and AI orchestration frameworks. This role focuses on designing, building, and optimizing agentic AI systems — from autonomous agents and MCP integrations to complex orchestration layers for both new products and existing long‑running platforms.The ideal candidate combines strong programming skills (JavaScript/TypeScript preferred, but other languages are welcome) with an ability to work independently, evaluate different approaches, and structure efficient AI development workflows. A consulting mindset is essential — you should be able to advise clients, explain trade-offs, and guide them through adopting modern agentic AI practices.Job DescriptionDESIGN & DEVELOPMENTDesign and implement Model Context Protocol (MCP) integrations and agent orchestration layersBuild and maintain AI SDLC pipelines, tooling, and automation logic across the development lifecycleImplement agentic AI patterns, multi-agent workflows, and intelligent task automationWork with tools such as Claude Code, Cursor, Microsoft Copilot, and other AI engineering environmentsRESEARCH & EXPERIMENTATIONEvaluate emerging agentic AI models, frameworks, and toolkitsBuild POCs and prototypes to benchmark scalability, reliability, and architecture fitPropose optimal designs based on hands-on research and clear analysis of trade-offsCONSULTING & COLLABORATIONWork with product teams, architects, and clients to define requirements and shape AI SDLC solutionsCommunicate complex technical concepts clearly to non-technical stakeholdersGuide clients on AI tool adoption (both greenfield and brownfield) Qualifications3–5+ years as a Software Engineer, including 1 year of extensive AI SDLC experienceStrong practical development experience — JavaScript/TypeScript preferred, but Python, Java, Go, etc. are also acceptableHands-on experience implementing:AI orchestration frameworksAutonomous agents & multi-agent systemsMCP integrationsSolid understanding of the AI model lifecycle, prompting, evaluation loops, and continuous improvementAbility to work independently and own end-to-end technical deliveryConsulting experience or strong client-facing communication skillsCuriosity, experimentation mindset, and willingness to build greenfield AI solutionsExperience running POCs, technical evaluations, or benchmarking approaches NICE TO HAVEExperience with vector databases, RAG, and embeddingsBackground in backend engineering, MLOps, or system designUnderstanding of LLM fine‑tuning or model customizationExperience integrating AI into production-grade applicationsAdditional InformationPERSONAL PROFILESelf-driven engineer with strong programming skills Consulting mindset with ability to advise clients Passion for experimenting with cutting-edge AI frameworks Strong communication skills for cross-functional collaboration Ability to deliver robust, scalable AI solutions By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy applyI'm interestedI'm interestedI'm interestedRefer a friendshare this jobShare to WeChat×Copy the link and open WeChat to share.Copy to clipboardOpen WeChatShare to WeChat×Use Scan QR Code in WeChat and click ··· to share.