Requirements

- Around 3 or more years of software engineering experience, including shipping AI or LLM-backed features to production.
- Experience owning those features after launch, including handling failures and production issues.
- Hands-on experience building evaluation harnesses and using the results to make release decisions.
- Robust general software engineering skills, with an understanding that reliable AI products require substantial systems work.
- Ability to reason about and handle failures in components whose outputs can vary for the same input.

Nice to have:
- Experience with multimodal pipelines involving vision, audio, or document understanding.
- Experience building retrieval systems and evaluating retrieval quality.
- Experience handling adversarial input, prompt injection, or abuse resistance.
- Experience with fine-tuning, distillation, and the supporting infrastructure.
- Experience with workflow orchestration at scale.

Responsibilities

- Design and build AI agents and the deterministic workflows they run within.




- Work with Backend Engineers on the services supporting these pipelines.
- Build and operate multi-step AI pipelines that are idempotent, retryable, observable, and resumable after failure.
- Define evaluation datasets, metrics, and release gates before shipping.
- Make model behaviour reproducible through versioning, caching, and replay, so historical decisions can be reconstructed.
- Protect pipelines against adversarial input and prompt injection through system design, beyond prompt instructions alone.
- Measure cost and latency per operation, and treat regressions as bugs.
- Work with Site Reliability Engineers to monitor provider latency, failure rates, and cost.
- Keep the model layer swappable so changing providers requires a configuration change rather than a rewrite.

Job Details

Bengaluru, in office.

Interview Process

- Initial Screening
- AI Systems and Evaluation Discussion
- Hands-on Engineering Round
- Final Discussion

📌 Artificial Intelligence Engineer (Bengaluru)
🏢 ClanX
📍 Bengaluru