Description

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
 

Key Skills

Education

Any Gradute