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LeadRemoteIndia

Senior Staff Engineer

J
jobgether
Уровень
Lead
Формат
Remote
О роли

Описание вакансии

About the company

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Staff Engineer based in India.

This is a high-impact engineering role focused on making AI-powered compliance and trust systems reliable, defensible, and scalable.

Responsibilities
  • Build trustworthy AI and agent systems: Design and evolve production-grade LLM and autonomous agent systems that can take multi-step actions against real data and users while meeting rigorous reliability and safety expectations.
  • Establish AI evaluation infrastructure: Build evaluation harnesses, golden datasets, regression suites, release gates, and drift-detection capabilities that continuously measure agent quality and prevent unreliable outputs from reaching customers.
  • Design defensible data systems: Create architectures that preserve temporal state, provenance, and traceability from source systems through to customer-facing outputs and audit packages.
  • Handle uncertainty and failure safely: Ensure systems distinguish clearly between passing, failing, and unknown states, particularly when integrations experience partial or upstream failures.
  • Shape technical architecture: Provide technical direction across areas such as tenant isolation, enterprise identity, high-scale integrations, inference economics, and regulatory domain modeling.
  • Drive engineering standards: Establish practices and architectural principles that improve the quality, reliability, and scalability of AI-enabled systems across the wider engineering organization.
  • Influence cross-functional decisions: Partner closely with Engineering, Product, Security, and Customer Experience teams, using strong technical judgment to challenge assumptions and guide decisions.
  • Lead through influence: Operate without direct reports while setting direction, mentoring engineers, solving complex technical problems, and helping teams navigate challenging deliveries.
  • Balance strategy and execution: Adapt between architectural leadership, hands-on engineering, problem solving, and delivery leadership according to the needs of the organization.
Requirements
  • 10+ years of software engineering experience, including at least 2 years operating at Staff Engineer level or equivalent, with a demonstrated ability to influence technical direction beyond your immediate team.
  • Proven experience building production AI/LLM or agent-based systems that take meaningful autonomous actions and have measurable impact on real workflows.
  • Strong understanding of designing AI systems where the model is treated as an untrusted subsystem, using constrained outputs, independent verification, escalation thresholds, and safeguards.
  • Significant depth in at least two of the following areas: production LLM and agent systems; temporal and provenance data modeling; high-fan-out integration reliability; multi-tenant architecture and enterprise identity; inference cost optimization; or domain modeling for complex regulatory rules.
  • Demonstrated ability to measure and improve system quality through metrics such as failure rates, evaluation results, cost, reliability, and operational impact.
  • Strong architectural and systems-thinking capabilities, with experience designing scalable, reliable, and maintainable software platforms.
  • Excellent problem-solving skills and the ability to work effectively with ambiguous, technically complex challenges.
  • Strong communication and written documentation skills, particularly in a remote-first environment where clarity and asynchronous collaboration are essential.
  • Ability to influence and challenge senior stakeholders without formal authority, while remaining pragmatic and focused on solutions.
  • A hands-on engineering mindset and willingness to move between strategic architecture and detailed implementation when required.
  • Strong sense of ownership, curiosity, adaptability, and willingness to improve engineering practices across an organization.
Conditions
  • 100% remote work, with the flexibility to work from home, a café, or another suitable location.
  • Annual coworking allowance to support access to professional workspaces.
  • USD 1,000 annual learning and development budget to support continuous professional growth.
  • Unlimited paid leave, providing flexibility to take time off when needed.
  • Health insurance with coverage of up to INR 10 lakh for you and your family.
  • Accident insurance providing an additional INR 10 lakh in coverage.
  • Life insurance worth 3x your annual salary.
  • INR 35,000 workspace setup allowance to help create a productive home-office environment.
  • Opportunity to work on challenging problems at the intersection of AI, automation, compliance, security, and enterprise technology.
  • A collaborative, remote-first culture that values autonomy, ownership, open communication, and continuous learning.
Стек и навыки

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