Design simulation environments and post-train LLM agents using advanced RL methods like RLHF, DPO, and PPO. Architect multi-turn tool-using agents and set technical standards through mentorship and code reviews.
Remote Software Engineer Jobs (35,795)
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Principal Applied AI Developer, Foundation Models Infrastructure
Autodesk
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Full Time
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6 Weeks Ago
Autodesk
Define and drive the technical strategy for Foundation Model ML Infrastructure to support the full lifecycle of machine learning models. Design and implement scalable, secure, and cost-effective platform services for model training, inference, and deployment at a global scale.
Design and develop end-to-end digital media platforms including streaming, OTT, and DRM solutions. Build backend services and cloud infrastructure on AWS while collaborating with customers to translate requirements into technical solutions.
Develop a self-service cloud SaaS platform for Voice AI services integrating LLMs and telephony applications. Build scalable backend services and intuitive user interfaces using an AI-first development approach.
AI Automation Engineer (Claude Code & AI Agents)
Bamboo Works
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Full Time
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6 Weeks Ago
Bamboo Works
Design and deploy production-ready AI agents and modular automation systems to optimize business operations across multiple companies. Integrate various SaaS platforms and develop scalable AI-assisted coding workflows to improve operational efficiency.
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AI Automation Engineer (Claude Code & AI Agents)
Bamboo Works
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Full Time
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6 Weeks Ago
Bamboo Works
Design and deploy production-ready AI agents and scalable automation workflows using Claude Code and Python. Transform complex business processes into intelligent systems to optimize marketing, reporting, and internal operations.
Design, develop, and deploy agentic AI systems and intelligent products integrating LLMs and RAG within client ecosystems. Bridge the gap between business needs and operational AI solutions by building robust data pipelines and evaluation frameworks.
Own and execute the technical content strategy, including tutorials, blog posts, and live demos. Engage with the developer community through conference speaking, workshops, and contributions to the Unleash open-source ecosystem.
Lead and coach a pod of recruiters to ensure high-quality and speedy delivery of software engineering talent. Manage the end-to-end recruiting process, including intake quality, pipeline health, and hiring manager relationships.
Lead the AI Inference team to build high-throughput, low-latency LLM serving systems and core infrastructure. Balance hands-on technical contributions in C++/CUDA with the mentorship and growth of a developer squad.
Lead reliability engineering initiatives to ensure the availability, performance, and scalability of Azure-based cloud platforms. Drive automation across deployments and operational processes while establishing observability standards and managing incident responses.
Digital Solutions Lead - AI & Automation (Philippines)
Hamerkop Climate Impacts
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Full Time
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6 Weeks Ago
Hamerkop Climate Impacts
Drive digital transformation by developing a roadmap for AI and automation to improve operational efficiency and service delivery. Oversee the full product lifecycle from requirement gathering and prototyping to deployment and adoption across the organization.
Lead and unify the Data Engineering, Data Science, and Analytics functions to build a scalable data platform and AI roadmap. Oversee the implementation of LLM-powered products, RAG pipelines, and robust data governance frameworks.
The role involves owning projects end-to-end, developing backend services using Haskell and Elm, and managing deployments via Kubernetes and Argo CD. Additionally, the developer will integrate agentic AI tools into the engineering workflow and drive continuous process improvements.
Design and maintain AI-powered automations and internal tools to optimize corporate SaaS and cloud platform workflows. Develop integrations and data synchronization processes using AI coding assistants and workflow automation platforms to reduce manual work.
Design and maintain AI-powered automations and internal tools to optimize corporate SaaS and cloud platform workflows. Develop scripts and integrations using AI coding assistants to improve operational visibility and productivity across IT and business teams.
The role involves owning projects end-to-end, from ambiguity to delivery, while developing and maintaining backend services using Haskell, Elm, and PostgreSQL. Additionally, the developer will integrate agentic AI tools into the engineering workflow and drive continuous improvement of internal processes.
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Lead the technical vision, architecture, and long-term engineering strategy for the CarePath Loyalty platform. Drive the design of scalable integrations and data pipelines while coordinating cross-functional execution to ensure on-time delivery of business outcomes.
Targeted Recruiting & Onboarding Specialist (Contractor)
Labelbox
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Full Time
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6 Weeks Ago
Labelbox
Own the end-to-end contributor acquisition funnel from sourcing technical profiles to successful onboarding. Build and manage the systems, external BPO partnerships, and sourcing channels to scale the recruit pipeline efficiently.
Oversees the coordination and administration of implementation and custom development efforts for enterprise partners. Acts as the primary liaison between clients and internal technical teams to define and deliver feature requirements.
SVP, Development and Enterprise Architecture
eMoney Advisor
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Full Time
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6 Weeks Ago
eMoney Advisor
Lead the evolution of the engineering organization into an AI-first, platform-driven ecosystem by redefining software delivery and architecture. Drive the overall engineering strategy and scale high-quality, secure, and resilient platforms to create a competitive advantage in wealth management.
Drive technical alignment and decisions between external AI partners and Canva's engineering teams to shape the Ecosystem platform. Lead the technical relationship for flagship engagements, ensuring coherence across MCP, REST APIs, and the Apps platform.
Lead the technical vision for backend systems by implementing features and improvements across Java Spring Microservices. Drive the adoption of AI-assisted development practices and mentor junior engineers in software design and best practices.
Lead a team of program managers to deliver complex, enterprise-level CRM engagements while ensuring high customer satisfaction and business outcomes. Collaborate with global leaders to standardize delivery methodologies and drive the strategic vision of large-scale programs.
Lead the design, innovation, and delivery of new features for transaction management platforms used by real estate brokerage clients. Manage a team of engineers, oversee process improvements, and ensure compliance and security standards are maintained.
Drive the discovery, design, and adoption of enterprise AI capabilities by identifying high-value use cases and implementing scalable AI solutions. Collaborate with cross-functional teams to establish data structures and retrieval workflows using LLMs and RAG frameworks.
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Lead the deployment and operational support of AI platforms and infrastructure while optimizing machine learning workflows. Build MLOps pipelines and ensure system security, scalability, and compliance across enterprise AI services.
Design, build, and operate full-stack applications and GenAI-powered services to support Sales, Marketing, and Finance teams. Lead the end-to-end software development lifecycle and mentor other engineers on AI-augmented workflows.
Lead cross-functional engineering teams to develop and deliver scalable AI-powered enterprise solutions for a global digital education ecosystem. Manage the full product lifecycle, from planning and architecture design to execution and performance optimization.
Lead the design and implementation of core backend services and data platform components using Node.js and TypeScript. Transition from a primary individual contributor to a people leader managing engineers as the platform scales.
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