Gen AI Engineer (Claude)

Acronotics Limited

New York (NY)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Job summary

Acronotics Limited is seeking a hands-on GenAI Engineer to build and scale AI applications focused on the Claude Agent SDK. The role involves developing workflows for document processing and operational automation, integrating GenAI capabilities into enterprise platforms.

The ideal candidate will have strong programming skills in Python and proven experience with Claude (Anthropic) frameworks, ensuring solutions are production-ready and reliable.

Qualifications

  • Strong hands-on experience with Claude (Anthropic) and agentic workflows.
  • Proven programming skills in Python.
  • Experience with LLM APIs/frameworks.

Responsibilities

  • Build agent-driven applications using Claude Agent SDK.
  • Design and implement agentic workflows.
  • Integrate GenAI solutions into enterprise systems.

Skills

Programming in Python
Experience with Claude (Anthropic)
Building end-to-end GenAI applications
Prompt engineering
LLM APIs/frameworks knowledge

Job description

Role Overview

We are looking for a hands‑on GenAI Engineer to build and scale agent‑based AI applications, with a strong focus on Claude Agent SDK (Anthropic).

The role centers on developing intelligent, production‑grade workflows for document processing, onboarding, and operational automation, integrating GenAI capabilities into enterprise platforms.

Key Responsibilities
  • Build agent‑driven applications using Claude Agent SDK and similar frameworks
  • Design and implement agentic workflows (multi‑step reasoning, tool use, orchestration)
  • Integrate GenAI solutions into enterprise systems
  • Develop and refine prompts and evaluation approaches
  • Ensure solutions are production‑ready, reliable, and auditable
Requirements
  • Strong hands‑on experience with Claude (Anthropic) and agentic / autonomous workflows
  • Strong programming skills in Python
  • Experience with LLM APIs/frameworks (OpenAI or similar as secondary)
  • Proven experience building end‑to‑end GenAI applications for production use
  • Solid understanding of prompt engineering and model behavior
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