Agentic Engineer Level II/III
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 2d 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 70d ago
The date the source published, not the day we noticed it (2026-08-24). Last seen at its source 3h ago.
We have tracked this listing since 24 Aug 2026 (70 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
Remote - India
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
India
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $50k–90k/yr
Middle 50% of 21 listings that do state pay — Engineering · all levels · India · USD/year. 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
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Lever employer's own board first seen 70d ago · last seen 3h ago
The listing
About the role
We are looking for an Agentic Engineer to build and scale agentic workflows and tools using Netomi’s no-code platform. This role requires strong software engineering fundamentals combined with prompt engineering and API-driven automation to power reliable, autonomous AI agents.
Responsibilities
Design and write high-quality prompts for LLM-based agents (GPT-class models preferred).
Build agentic tools and workflows using Netomi’s no-code platform (similar to Workato, Zapier, n8n).
Integrate external and internal APIs, including authentication, data mapping, and error handling.
Implement unit tests, debug issues, and ensure reliability of agent workflows.
Apply engineering best practices and design patterns such as retries, timeouts, idempotency, and lazy loading.
Optimize agents for performance, cost, and fault tolerance.
Collaborate with Product, QA, and Delivery teams to ship production-grade agentic solutions.
Requirement
4–7 years of experience as a Software Development Engineer or similar role.
Strong understanding of prompt engineering and LLM behavior.
Hands-on experience with REST APIs, webhooks, and JSON-based integrations.
Solid experience in unit testing, debugging, and troubleshooting.
Knowledge of resilient system design patterns and non-happy path handling.
Nice to Have
Experience with no-code/low-code automation platforms.
Exposure to agentic AI, conversational AI, or workflow orchestration systems.
Familiarity with observability and monitoring in production systems.