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.
You will shape the technical foundations that enable autonomous agents to operate safely against real-world data and users.
The role spans agent evaluation, provenance, temporal data modeling, integration reliability, enterprise identity, and inference economics.
You’ll work on systems where accuracy and explainability are critical because outputs may be relied upon by auditors and enterprise decision-makers.
As a senior technical leader, you’ll influence architecture and engineering standards across teams without relying on formal authority.
The environment is remote-first, highly autonomous, collaborative, and built around solving complex problems rather than staying within rigid job boundaries.
This is an opportunity to define how trustworthy AI systems are engineered and adopted across a rapidly scaling technology platform.
Accountabilities
- 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.
Benefits
- 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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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