Member of Technical Staff, AI Engineering (India)
IndiaFull-timePosted 1w ago
About the role
Handshakes’s Member of Technical Staff role focuses on building data systems for frontier model training, including data generation, anonymization, and preparation, in collaboration with researchers, domain experts, and compliance teams. Early team members influence technical direction and culture. Location: Bangalore, India.
Responsibilities
- Design and build systems that improve the quality, scale, and safety of the data Handshake generates and acquires for frontier model training—spanning synthetic data generation and data anonymization/PII removal.
- Translate ambiguous research, partner, or compliance needs into clear hypotheses, experiments, evaluation plans, and production-quality implementations.
- Build and improve data-processing pipelines, evaluation frameworks, benchmarks, and quality-control systems, whether the goal is generating higher-signal synthetic data or verifying that sensitive data has been properly de-identified.
- Run fast, rigorous iteration loops: prototype, evaluate, interpret results, and turn learnings into the next system or product.
- Partner directly with researchers, domain experts, and—where relevant—legal and compliance teams to ensure data is both high-utility and responsibly handled.
- Identify repeatable patterns across engagements and productize them into reusable software and platforms.
- Raise the technical bar through strong design judgment, clear communication, code quality, and mentorship.
Qualifications
- 2–10 years of recent, demonstrated experience in one or more of: synthetic/LLM-generated data, post-training and model-evaluation work, privacy engineering, or data anonymization/de-identification at scale.
- A hands-on individual contributor track record—this is not a team-lead or engineering-management role.
- Strong Python skills and the ability to write clean, efficient, scalable software for large, messy, real-world datasets.
- Sound judgment for reasoning about data quality, risk, and utility—forming hypotheses, choosing meaningful metrics, diagnosing failures, and distinguishing signal from noise.
- Experience designing systems—not only implementing specifications—including tradeoffs around quality, scale, reliability, and reuse.
- Comfort operating in an ambiguous, fast-moving environment with substantial ownership.
- Collaborative, low-ego communication and the ability to work effectively with researchers, engineers, domain experts, and customers.
Skills
Required:Python
Benefits
- Generous Equity Grant vested over 4 years
- Housing Bonus: 1.3 Lakhs spread throughout the first year
- Well Defined Performance Bonus ranging between 10 - 100% of base
- Medical Insurance Coverage
- Food credit for every in person day.
Last updated Oct 15, 2026. Interested? Apply on the company site.
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