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The Coding Annotator will create high-quality coding prompts and reference solutions to benchmark AI model performance. They are also responsible for evaluating model outputs to identify failure patterns and maintaining coding environments for reinforcement learning workflows.
The developer will be responsible for software development in enterprise environments using Python. They will also manage database interactions and maintain CI/CD pipelines for complex distributed systems.
The engineer will program high-performance core applications responsible for collecting and moving large amounts of data. They will also hold ownership over the design, features, and modules of these systems.
The developer will design and maintain Python-based services and MCP integrations to automate event analysis and incident insights using AI-driven solutions. They will collaborate with operational teams to improve monitoring workflows, reduce alert noise, and provide technical mentorship.
You will lead a team of software engineers in developing and maintaining backend services, APIs, and GenAI platforms. Your role involves balancing deep technical leadership with people management to ensure high-quality, scalable, and secure system delivery.
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Develop, maintain, and evolve applications using Python and integrate systems using Twilio and REST APIs. Collaborate with product, technology, and business teams to analyze requirements and ensure high-quality code through testing and code reviews.
The Senior Backend Developer will design, build, and maintain complex enterprise-grade Python applications and data-intensive services. They will collaborate with cross-functional teams to translate business requirements into scalable technical solutions while ensuring system reliability and performance.
Develop automations, APIs, and data pipelines to ingest and process information from various sources. Collaborate with multidisciplinary teams to design scalable solutions and ensure high-quality code through testing and reviews.
The Backend Engineer will contribute to all phases of the development lifecycle, including planning, coding, and peer reviews for mission-critical applications. They are responsible for maintaining high-performing, scalable code while proactively communicating project risks and requirements.
You will design and build scalable backend services while improving developer productivity across the engineering organization. Additionally, you will lead technical initiatives and contribute to the development of AI and LLM applications.
The Senior Developer will join software development projects within enterprise environments. Responsibilities include working with complex distributed systems and performing troubleshooting tasks.
The Data Scientist will develop data analysis solutions and statistical models to support business processes within a telecommunications project. They will also collaborate with technical teams to implement data-driven solutions and contribute to the evolution of analytical tools.
You will build and package complex Python projects for Conda-based ecosystems while ensuring cross-platform reliability, particularly on Windows. Additionally, you will work directly with client stakeholders to translate their needs into technical solutions and contribute to the open-source packaging community.
You will build and maintain data pipelines and reporting services to support a global merchant base. Additionally, you will contribute to the development of a new self-service Reporting API and participate in on-call rotations for production incidents.
You will build and evolve the internal developer platform, managing monorepo infrastructure and CI/CD pipelines to improve engineering productivity. Additionally, you will automate service creation and collaborate with SRE and product teams to ensure system reliability and performance.
Evaluate AI-generated coding interactions to assess the quality of reasoning, explanations, and engineering judgment. Provide clear, opinionated feedback on the effectiveness and reliability of AI coding agents in real-world scenarios.
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Develop and maintain Python-based applications while designing and optimizing Generative AI solutions for business use cases. Collaborate with cross-functional stakeholders to gather requirements and ensure the successful implementation of scalable AI models.
The developer will design, develop, and maintain scalable data pipelines using Python and Databricks while managing cloud environments on Azure. They will also handle API ingestion, automation, and collaborate with cross-functional teams to deliver solutions using Agile methodologies.
Develop software in enterprise environments using Python and manage complex distributed systems. Implement and maintain CI/CD pipelines while ensuring high-quality code through rigorous debugging.
The Python Software Architect will design, build, and enhance complex enterprise-grade applications and data-intensive services. They will collaborate with cross-functional teams to translate business problems into scalable technical solutions while ensuring operational stability.
The role involves designing, building, and maintaining complex enterprise-grade Python applications and data-intensive services. You will collaborate with cross-functional teams to translate business requirements into scalable technical solutions while ensuring operational stability and performance.
The developer will design, build, and maintain scalable server-side applications and microservices while collaborating with cross-functional teams. They are responsible for optimizing database architectures and ensuring high performance and system reliability.
You will assist in designing, developing, and maintaining Python-based AI applications while collaborating with team members to implement features. Additionally, you will participate in code reviews, troubleshoot technical issues, and support testing and CI/CD processes.
The Expert Python Engineer will act as the primary architectural authority for the AS Copilot RAG pipeline and lead the strategy for tuning re-rankers and grounding efforts. They will also oversee the delivery of production-grade code and provide high-level technical direction to the engineering team.
The Python Engineer will build and deploy hybrid retrieval mechanisms and grounding modules within an existing RAG pipeline. They will also collaborate with architects to ensure low-latency performance and maintain strict KPI baselines through rigorous testing.
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Lead the design and evolution of infrastructure management platforms and automation systems while driving architectural decisions for complex operational challenges. Partner with engineering teams to build scalable services and mentor other engineers to improve technical quality and reliability.
The role involves developing and maintaining software solutions using Java and Python within a microservices architecture. You will contribute to digital transformation projects while ensuring high-quality code through rigorous testing and database management.
Develop and maintain software solutions using Java and Python within a cloud-native environment. Collaborate with the team to implement microservices, automation scripts, and integrate AI technologies.
The role involves deploying and configuring Azure cloud services while automating infrastructure using Infrastructure as Code (IaC) practices. Additionally, the candidate will build and maintain CI/CD pipelines, implement monitoring solutions, and manage disaster recovery and security protocols.
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