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Software Engineering Expert – AI Training
Location
India
Posted
9 hours ago
Salary
$100 - $230 / hour
Seniority
Senior
Job Description
Software Engineering Expert – AI Training
Weekday (YC W21)
• Design reproducible software engineering environments for evaluating AI model performance. • Develop high-quality reference ("golden") solutions for complex programming challenges. • Contribute expert-level code samples in one or more of the following languages: - Python - Java - Rust - Go - C++ - TypeScript • Analyze, debug, and resolve complex software defects across diverse codebases. • Design, implement, and validate scalable software features following industry best practices. • Refactor legacy applications to improve maintainability, readability, and performance. • Optimize software systems by identifying bottlenecks and improving efficiency. • Document technical reasoning, implementation decisions, and solution methodologies to improve AI training quality. • Review and validate technical submissions, ensuring correctness, clarity, and engineering excellence. • Collaborate remotely with cross-functional teams to continuously improve project quality and deliverables.
Job Requirements
- Strong hands-on experience with at least one of the following programming languages:
- Python
- Java
- Rust
- Go
- C++
- TypeScript
- Deep understanding of algorithms, data structures, object-oriented programming, and software engineering principles.
- Proven experience debugging complex software systems and resolving production issues.
- Experience implementing scalable software features throughout the software development lifecycle.
- Strong background in refactoring and modernizing existing codebases.
- Excellent analytical, problem-solving, and debugging skills.
- Ability to communicate technical concepts clearly through written documentation.
- Comfortable working independently in a fully remote environment.
- Preferred Qualifications
- Experience working with large-scale or distributed software systems.
- Background in software architecture, performance optimization, or system design.
- Experience contributing to open-source projects or maintaining production-grade applications.
- Familiarity with code reviews, engineering best practices, and collaborative software development workflows.
- Interest in artificial intelligence, machine learning, or AI-assisted software development (prior AI experience is not required).
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• Transform business logic into high-quality code, adhering to established standards and practices; • Participate in defining and implementing new features and fixing bugs; • Understand and discuss issues and proposed solutions, always seeking the best technical solution for encountered challenges; • Review code delivered by team members; • Break down large deliveries into small, cohesive deliverables; • Monitor the deployed solution in production, evaluating errors, performance, and availability; • Collaborate on improvements or new standards in the Engineering knowledge base.
• Contribute to the design and implementation of product features that align with technical strategy, quality standards, and functional requirements. • Develop full lifecycle code from development, testing, production, and subsequent fixes and improvements. • Participate in release planning, providing reliable estimations and delivering work that meets scope and quality expectations. • Engage in code reviews and other collaborative engineering practices. • Take part in daily standups, sprint ceremonies, and retrospective discussions. • Participate in security reviews of new development to help ensure compliance with Sophos security requirements and industry best practices. • Troubleshoot and resolve issues as a first responder in the team.
• Write and ship production code daily — you are an active contributor. • Work on Ruby, Java, Python, Go, JavaScript, and even C++. • AI is at the core of everything we do; engineers write tech specs, and AI agents implement them. • Mentor engineers through code reviews, pairing sessions, and design discussions. • Own the entire product lifecycle: tech specs, implementation, testing, delivery.
• Lead the design and development of some of the most critical and technically complex services in our ecosystem, focusing on long-term, scalable, and sustainable solutions. • Define and evolve the technical vision for multiple teams, ensuring architectural consistency, system resilience, and alignment with product strategy. • Partner with cross-functional leaders (Product, Design, Data, etc.) to prioritize and deliver initiatives that drive business growth and improve user experience. • Mentor and empower engineering managers and tech leads, fostering a high-performing culture focused on continuous improvement and technical excellence. • Oversee integration efforts with third-party APIs and tools, ensuring seamless and secure connectivity across systems. • Guide modernization of legacy systems to enhance scalability, performance, and developer experience. • Champion operational excellence through best practices in monitoring, incident management, and system reliability. • Create and support a collaborative, agile environment where engineers are engaged, productive, and have clear paths for growth. • Stay close to cutting-edge technologies and global-scale challenges, driving innovation across the engineering organization. • Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life wellness.




