AI-Driven Software Engineer
Design and build cloud-native applications and APIs using agentic AI-driven development practices. Collaborate with clients to redefine software development workflows and implement AI prototypes into production platforms.
Remote Senior Software Development Jobs
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Design and build cloud-native applications and APIs using agentic AI-driven development practices. Collaborate with clients to redefine software development workflows and implement AI prototypes into production platforms.
Develop the control plane and lifecycle automation for Managed PostgreSQL while tuning database internals for AI workloads. Build migration tooling and drive the integration of vector search capabilities within the Nebius AI Cloud stack.
Design and develop scalable RESTful APIs and data access layers using .NET and SQL Server. Lead the engineering process by mentoring developers, performing code reviews, and driving projects to completion through scrum ceremonies.
Design and develop modern test automation architectures and scalable frameworks for enterprise applications using AI-supported approaches. Integrate automation into CI/CD pipelines and provide strategic consulting to development teams on quality engineering best practices.
Analyze banking transactions to detect and prevent fraud using graph-based transactional analysis and ML models. Develop production-ready Python code and integrate fraud detection algorithms into the company's protection platform.
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Own the reliability, performance, and scalability of the data tier, including schema design and migration safety. Build observability tooling and automate standards for the Django ORM and CDC pipelines to support rapid engineering growth.
Lead the security, reliability, and cost efficiency of cloud and edge infrastructure, specifically managing Cloudflare and AWS environments. Establish observability standards and drive incident response processes to improve system visibility and operational excellence.
Lead advanced technical discussions with enterprise customers to design and scale AI, analytics, and HPC storage architectures. Partner with sales teams to optimize GPU utilization and bridge on-premises infrastructure with AI hyperscaler environments.
Design and implement microservices-based solutions using Java and Spring Boot. Develop and integrate RESTful APIs while managing relational databases and messaging systems like Kafka.
Design and implement security safeguards for internal AI and agentic systems, focusing on runtime enforcement and identity controls. Establish observability, detection capabilities, and threat models to prevent unsafe AI-driven activity and protect developers.
Lead the technical architecture and implementation of Microsoft Dynamics 365 Finance and Supply Chain Management solutions. This includes designing technical requirements, managing data migrations, and providing guidance to project teams and client leadership.
Lead the scaling and maintenance of a self-hosted n8n enterprise automation engine. Develop custom node code and advanced webhooks to build robust, asynchronous workflows for high-scale operational loads.
Lead the development and support of MTS for enhancements, migrations, and upgrades. Configure and troubleshoot MTS components while converting business requirements into technical solutions.
Lead the development and enforcement of cybersecurity strategies, focusing on threat prevention, detection, and remediation. Design robust security infrastructure and manage the incident response team to mitigate risks and investigate breaches.
Create technical content, tutorials, and demos to educate developers and analysts while building trust within developer communities. Act as a bridge between the community and internal product teams by synthesizing feedback into actionable insights.
Design and build an AI-driven defense framework to automate the SOC and incident response lifecycle using agentic AI and MCP systems. Architect a proactive threat hunting program and collaborate cross-functionally to ensure corporate systems are automation-ready.
Design and implement scalable, high-performance data pipelines to ingest and transform data from various sources. Build and maintain secure, tenant-aware APIs and implement observability and monitoring to ensure data reliability.
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Design and implement scalable, high-performance data pipelines to ingest and transform data from various sources. Build and maintain secure, tenant-aware APIs and implement observability and monitoring to ensure data reliability.
Design and optimize large-scale continual pre-training pipelines for VLM foundation models. Conduct research on integrating multimodal data streams and develop metrics to evaluate model performance in autonomous driving contexts.
The role involves evaluating utility distribution systems to identify opportunities for distributed energy deployment and designing integration strategies for assets like BESS and EV charging. You will partner with utility engineering and operations teams to translate technical requirements into actionable deployment recommendations.
Build internal AI tools, prototypes, and business workflows to integrate AI across various company teams. Define reusable patterns and shared infrastructure to scale AI value and improve organizational efficiency.
Define and deliver AI infrastructure capabilities for large-scale GPU workloads by translating customer requirements into technical specifications. Partner with engineering and operations teams to build scalable offerings for training, inference, and cluster orchestration.
Define and optimize design solutions using the Centric Planning platform to meet client business requirements. Translate business needs into functional specifications and define necessary configuration and data requirements.
The role involves identifying high-value opportunities from data and building practical ML or heuristic solutions to improve developer workflows. You will own the end-to-end execution from data exploration and modeling to backend integration and productization.
Develop and optimize BI tools, dashboards, and reports to support hospital capacity management and patient flow initiatives. Collaborate with operational stakeholders to translate business requirements into actionable data insights for clinical leaders.
Act as a technical advisor to define enterprise-wide cloud strategies and lead the implementation of large-scale solutions on Google Cloud. Oversee cloud governance, cost optimization, and the mentorship of senior cloud engineers.
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Lead the design and optimization of advanced real-time systems and core runtime features in Unreal Engine 5. Collaborate with multidisciplinary teams to define technical standards and mentor junior developers to improve the visualization pipeline.
Architect and build robust AI/ML production systems focusing on backend distributed systems and microservices. Lead cross-functional initiatives to optimize model training, real-time inference, and operational reliability.
Develop and manage practical integration architectures for HR environments using SAP Cloud Integration and SuccessFactors. Lead technical streams in large-scale projects, conduct workshops, and mentor junior professionals.
Develop and manage practical integration architectures for HR environments using SAP Cloud Integration and SuccessFactors. Lead integration streams in large-scale projects, conduct workshops, and mentor junior professionals.
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