Information Technology_USA - USA_Engineer

REQUIREMENT_CITY - Malvern, PA

How does agentic AI differ from traditional AI?

What are the main components of an AI Agent?

What is the control loop in an AI agent?

What is planning in Agentic AI?

How do agents avoid conflicts?

ROLE_DESCRIPTION -

AI Engineer Agentic Platforms & Autonomous Systems

Location

Flexible / Hybrid / Remote (based on business needs)

Role Summary

We are seeking an AI Engineer to design, build, and deploy intelligent agents using modern agentic AI platforms, including (but not limited to) Writer, Amazon Bedrock, UiPath, and similar frameworks. This role focuses on creating secure, governable, and scalable agents that can reason, plan, and act across enterprise workflows while integrating with business systems and data.

The ideal candidate is platform-agnostic, understands agent autonomy levels, and can design systems that balance automation, oversight, and trust.

Key Responsibilities Agent & AI System Development

Design and build AI agents capable of reasoning, planning, and executing tasks

Implement agents using multiple agentic platforms (Writer, Bedrock, UiPath, or equivalent)

Apply retrieval-augmented generation (RAG), tool invocation, and memory patterns

Define agent operating modes (assistive, workflow-driven, semi-autonomous)

Key Responsibilities Platform Integration & Orchestration

Integrate agents with enterprise systems via APIs and automation frameworks

Connect agents to structured and unstructured data sources

Build orchestration logic separating planning, execution, and validation

Design reusable, cross-platform agent patterns

Key Responsibilities Governance, Risk & Control

Implement human-in-the-loop, policy guardrails, and permission controls

Ensure agent actions are auditable, explainable, and compliant

Collaborate with security, risk, and compliance teams

Evaluation & Optimization

Measure agent performance, accuracy, cost, and latency

Diagnose and mitigate agent failure modes

Continuously optimize prompts and orchestration logic

Required Qualifications

4+ years of experience in software, AI/ML, or automation engineering

Hands-on experience building LLM-powered agents or workflows

Proficiency in Python and/or TypeScript

Experience with APIs and enterprise integrations

Preferred Qualifications

Experience with Writer, Amazon Bedrock, UiPath, or similar agent platforms

Experience with RAG, embeddings, or vector search

Familiarity with regulated or large-scale enterprise environments

What Success Looks Like

Trusted agents delivering real business value

Platform-agnostic implementations avoiding vendor lock-in

Clear balance between autonomy and human oversight

Why This Role Matters

This role helps define how intelligent agents are safely operationalized in the enterprise, transforming emerging agentic capabilities into scalable, production-grade systems.

Skills: Digital : Python~AI Agents

Experience Required: 6-8 Comments for Suppliers: 10700466