BPM
via Lever
AI Prompt Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 22h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 39d ago
The date the source published, not the day we noticed it (2026-08-07). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Bengaluru
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $6,750–7,250/mo
Middle 50% of 9 listings that do state pay — Engineering · all levels · India · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
lever employer's own board first seen 13d ago · last seen just now
The listing
Job Summary:
As an AI Prompt Engineer at Caravel, you'll build the production layer of our AI practice — the prompts, prompt chains, and LLM-driven components that power client solutions and the internal accelerators our consultants rely on. You'll partner with our AI Specialists to turn solution designs into reliable, evaluated, production-ready builds. This is a hands-on build role for someone who cares about getting model behavior right, not just getting it to run.
Key Responsibilities:
- Design, build, test, and iterate on prompts and prompt chains for production LLM workflows across client delivery and internal automation.
- Implement evaluation harnesses, guardrails, and regression tests so output quality is measurable and stays stable over time.
- Integrate LLM components with business systems and data — APIs, retrieval/RAG pipelines, and structured outputs.
- Partner with AI Specialists to convert solution designs into production builds, and document patterns for reuse.
- Tune for accuracy, cost, latency, and safety against real evaluation data — not vibes.
- Grow Caravel's library of reusable AI accelerators.
Preferred Qualifications
- 2+ years building software or AI/LLM components, including hands-on experience crafting and iterating prompts for real applications.
- Working knowledge of LLM fundamentals: context windows, few-shot prompting, function/tool calling, structured outputs, and RAG basics.
- Proficiency in Python (or similar) and comfort with APIs, JSON, and version control (Git).
- A test-and-measure mindset — you evaluate output quality, you don't eyeball it.
- Clear written English and strong documentation habits.
- Ability to collaborate across time zones with an onshore/nearshore team.
- Experience with evaluation frameworks (e.g., promptfoo, Ragas, or custom eval harnesses).
- Familiarity with embeddings, vector databases, and retrieval pipelines.
- Exposure to ERP/CRM ecosystems (NetSuite, Salesforce) or business-process automation.
- Experience with agentic frameworks and orchestration.
Preferred Skills: