Weekday AI

Design and implement high-performance, real-time backend services for large-scale data processing, ensuring system reliability and efficiency. | Extensive experience in backend development, especially with Python, and proven expertise in building scalable data ingestion and streaming systems. | This role is for one of the Weekday's clients Compensation: $180,000–$280,000 Min Experience: 6 years Location: USA, Texas City, California City, Austin, Dallas, Washington, San Francisco, US, San Francisco Bay Area, new york, Seattle, Boston, Los Angeles JobType: full-time We are looking for a seasoned backend engineer who excels at building high-performance systems that power real-time data processing at scale. You will architect and implement backend services that ingest, transform, and correlate massive volumes of data across distributed environments. This role is ideal for someone who thrives in fast-paced, data-intensive ecosystems and enjoys solving complex engineering challenges with clean, efficient, and reliable solutions. What You’ll DoReal-Time & Distributed System Development Design and implement high-throughput backend services capable of processing live data streams. Build resilient ingestion frameworks that support low-latency, high-frequency data workflows. Ensure real-time reliability through robust retry, error-handling, and monitoring mechanisms. Workflow Orchestration & Automation Develop and optimize workflow automation using orchestration tools such as Temporal, Celery, Airflow, or similar systems. Streamline data operations by designing efficient pipelines that support complex event flows. Performance Engineering Conduct deep-dive performance analysis to reduce latency, optimize queries, and fine-tune resource utilization. Leverage advanced data modeling techniques to support scalable, distributed data operations. Systems Integration & Collaboration Work closely with platform, data engineering, and infrastructure teams to enhance ingestion, transformation, and processing layers. Integrate backend systems with cloud environments, security layers, and third-party tools. Contribute to architectural discussions and long-term technology roadmap planning. Reliability & Troubleshooting Investigate production issues across distributed pipelines and drive root-cause resolution. Continuously improve backend reliability, observability, and fault-tolerance. What Makes You a Great FitTechnical Expertise Strong experience developing backend systems in Python or another modern backend language. Proven track record of building large-scale data ingestion or streaming systems. Deep hands-on knowledge of orchestration tools (Temporal, Celery, Airflow, etc.). Solid understanding of distributed systems, concurrency, and performance tuning. Experience handling high-volume, high-velocity data streams in production environments. Mindset & Approach You approach problems with a systems-thinking perspective. You write clean, well-tested, maintainable code. You enjoy optimizing at both micro and macro levels—from code paths to architecture. You collaborate effectively with cross-functional teams and communicate with clarity.

The role involves architecting and developing scalable backend services and data ingestion pipelines using Python. The engineer will work with real-time data processing systems to ensure high performance, low latency, and reliability. | Candidates must have extensive hands-on experience with Python for backend engineering and a strong background in data ingestion pipelines and real-time data processing. Expertise in workflow automation systems like Celery or Temporal is also required. | This role is for one of the Weekday's clients Compensation: $180,000–$280,000 Min Experience: 6 years Location: USA, Texas City, California City, Austin, Dallas, Washington, San Francisco, US, San Francisco Bay Area, new york, Seattle, Boston, Los Angeles JobType: full-time We are seeking a highly experienced Python Software Engineer to lead backend development for large-scale, real-time data pipelines. The ideal candidate has deep expertise in Python, data ingestion frameworks, workflow orchestration, and performance optimization. This role involves building robust, high-throughput systems that correlate and process data across multiple streams in real time. Key Responsibilities Architect and develop scalable backend services and data ingestion pipelines using Python. Work with real-time data processing systems to ensure high performance, low latency, and reliability. Build and optimize workflows using Celery, Temporal, or similar orchestration tools. Apply advanced query optimization and data modeling techniques to support high-volume data operations. Collaborate with data platform teams to improve ingestion, transformation, and processing layers. Ensure smooth integration with third-party tools, security systems, and cloud-based environments. Troubleshoot pipeline issues and drive system improvements for scalability and efficiency. Required Experience Extensive hands-on experience with Python for backend engineering. Strong background in data ingestion pipelines and real-time data processing. Expertise in Celery, Temporal, or other workflow automation/orchestration systems. Solid understanding of distributed systems, query optimization, and data platform architecture. Experience working with high-volume, high-frequency data streams.

Develop and assess domain-specific AI prompts and responses to ensure accuracy and professionalism. | Minimum 2 years professional experience in law, investment banking, consulting, or medicine with strong domain-specific communication skills. | This role is for one of our clients Compensation: $80-$90 per hour We are looking for experienced professionals in law, investment banking, consulting, or medicine to help enhance the performance of advanced language models. This role involves applying your domain expertise to evaluate and refine AI-generated outputs, ensuring clarity, accuracy, and consistency in professional contexts. You will contribute to shaping cutting-edge AI systems by crafting relevant prompts and reviewing responses. Requirements Key Responsibilities • Develop domain-specific prompts that reflect real-world scenarios and use cases. • Assess AI-generated responses for accuracy, clarity, professional tone, and formatting. • Create expert-level reference "golden responses" to serve as benchmarks for model performance. • Identify errors, inconsistencies, or stylistic deviations in AI outputs. • Collaborate asynchronously with research teams to refine evaluation protocols and guidelines. Ideal Qualifications • 2+ years of professional experience in law, investment banking, consulting, or medicine. • Strong familiarity with domain-specific writing standards, formatting, and communication norms. • Excellent analytical and written communication skills. • Detail-oriented with a commitment to high-quality outputs. • Experience with prompt engineering or AI tools is a plus, but not mandatory. Additional Details • Remote and asynchronous role - work flexibly on your own schedule. • Expected commitment: 10+ hours per week. • Project duration: approximately 4 weeks, with potential for extension.