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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.
Required Qualifications
4 years of experience in software, AIML, or automation engineering
Hands-on experience building LLM-powered agents or workflows
Proficiency in Python andor TypeScript
Experience with APIs and enterprise integrations
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
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
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.
Required Qualifications
4 years of experience in software, AIML, or automation engineering
Hands-on experience building LLM-powered agents or workflows
Proficiency in Python andor TypeScript
Experience with APIs and enterprise integrations
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
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