Description

Job Summary

Seeking a hands-on, technically strong AI Workflow & Prompt Architect to build, optimize, and troubleshoot agentic AI workflows for a large-scale AI initiative. The role focuses on developing reusable AI agents, multi-step prompt workflows, and automation solutions to support customer complaint remediation across multiple financial product lines. The ideal candidate is a fast learner with strong Python skills, an AI-native mindset, and experience using AI-assisted coding tools to build and debug solutions independently.

Responsibilities

Design and optimize multi-step prompt workflows, agent orchestration, and reusable AI agents.

Develop prompt libraries, templates, and instructions to improve workflow consistency and execution.

Use Python to automate file processing, data transformation, and technical tasks.

Analyze execution logs and agent outputs to identify root causes and troubleshoot workflow failures.

Manage LLM context, memory, retrieval, and document grounding across multi-step workflows.

Leverage AI-assisted development tools such as Claude Code, Cursor, and GitHub Copilot to accelerate development.

Build and test solutions using LLM frameworks and multi-agent architectures.

Work independently in a fast-paced environment, translating AI capabilities into practical business solutions.

Required Qualifications

Hands-on experience with AI workflows, LLM orchestration, prompt chaining, or agentic AI development.

Strong Python scripting skills and the ability to solve technical problems independently.

Working knowledge of Langhain, LangGraph, RAG, and multi-agent architectures.

Experience troubleshooting AI outputs, analyzing execution logs, and improving workflow reliability.

Understanding of LLM context management, memory, and retrieval strategies.

Heavy practical use of AI-assisted coding tools, with a strong interest in experimenting with emerging AI technologies.

Strong technical curiosity, adaptability, and a hands-on problem-solving mindset.

Preferred Qualifications

Experience with GG ADK, LangSmith, AutoGen, CrewAI, or Semantic Kernel.

Personal AI projects, GitHub repositories, or independently developed agents.

Experience with document-heavy workflows, process mining, or large-scale automation.

Financial services experience

Key Skills

Education

Any Graduate