Senior Agentic AI / AI Systems Engineer

Department Icon Data Science Analytics & Machine Learning
Posted: 1 month ago
4-10 years
India
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 26 Oct 2026

Posted: 1 month ago
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Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

Overview

Item.com is seeking a senior hands-on engineer to lead the design and operation of reliable agentic and multi-agent AI systems. This role combines deep implementation ability with technical leadership, systems judgment, and production accountability.

Responsibilities

  • Deliver resilient AI systems that support mission-critical business work.
  • Create reusable patterns for evaluation, reliability, observability, governance, and cost control.
  • Raise the technical bar through architecture, code reviews, mentoring, and incident learning.
  • Lead design and implementation of agentic services and multi-agent workflows across models, tools, data sources, and human workflows.
  • Define platform patterns for tool contracts, state, orchestration, evaluation, tracing, guardrails, and release management.

Minimum Requirements:

  • Deep production software/systems engineering experience and demonstrated hands-on AI systems ownership.
  • Evidence of operating distributed, AI/ML, or agentic systems at meaningful scale.
  • Experience with evaluation pipelines, observability/tracing, security controls, deployment automation, and incident management.
  • Ability to lead technical decisions without relying solely on a framework or vendor abstraction.
  • Strong communication skills for technical and non-technical stakeholders.

Preferred Requirements:

  • Own reliability engineering: SLOs, fallback paths, incident response, root-cause analysis, and capacity/cost planning.
  • Review designs and code; mentor engineers and establish engineering standards.
  • Partner with security, platform, product, and operations leaders on safe deployment and change management.
  • Make clear tradeoffs among performance, quality, reliability, cost, vendor dependencies, and delivery speed.

Skills

ImplementationIncident ManagementAi/mlAiMlGuardrailsAgenticAgentic Ai

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