Agentic Engineer

Build the Future with AspenView Technology Partners

At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently.

As we continue to grow, we’re looking for exceptional people to join our team and help drive impactful change across industries.

About the Role

AspenView is hiring an Agentic Engineer to build, tune, and measure agentic delivery across payments and hospitality commerce for a global payments and financial-technology platform. The client is putting agents to work inside its software delivery and its banking and commerce workflows, and its AI estate is already live and large: an agentic operating system for banking built on OpenAI with Amazon Bedrock and AWS AgentCore, AI-assisted development across 8,000+ engineers, and an autonomous coding agent on core modernization. Restaurant, lodging, and hospitality commerce is a named growth vertical, so domain fluency shortens the ramp materially.

You will design and build agentic workflows, engineer the context and tool surface each agent runs on, prove results with evaluation harnesses and hard numbers, and harden everything for a regulated payments environment. We hire for demonstrated hands-on work and judgment rather than one career path — we assess the work, not the job title — and regulated-environment governance is non-negotiable.

What You Will Do

Agent Design & Context Engineering
- Design and build agentic workflows — single agents, multi-agent orchestration, and subagent decomposition — against real delivery and operational tasks.
- Engineer the context: retrieval and RAG strategy, scoping, structured summaries, and pruning rules that keep long sessions coherent and affordable.
- Own system prompts, agent instructions, and configuration as versioned, reviewed artifacts rather than ad hoc text passed between people.
- Design the tool surface each agent gets — tool inventories, MCP servers, and permission and sandboxing models — connecting agents to repositories, Azure DevOps, CI, documentation, and data platforms.
- Build on the client's existing AI estate: OpenAI APIs and the Codex toolchain, agent runtimes on Amazon Bedrock / AWS AgentCore, GitHub Copilot, and Microsoft Foundry.

Evaluation & Measurement
- Build evaluation harnesses on representative task sets — including payment, POS, and hospitality commerce flows — and instrument runs for traces, token and latency telemetry, and tool-call success.
- Track and report throughput, quality, human intervention rate, and cost per unit of work against a pre-agent baseline.