About the Role:

Mactores is the agent-native AWS modernization firm. We exist to ship production systems, retire legacy, and measure outcomes. Our delivery is built on Aedeon, an agent platform that absorbs 60-70% of repetitive engagement work, allowing our Forward-deployed engineers (FDEs) to focus on architecture, judgment, and cutover.

This is not a staff-augmentation seat and not an advisory role. You ship.

What you will do:

- Deliver production agentic AI systems and AWS modernization engagements on committed dates across Data Platform Modernization, Application & Database Modernization, and AI Agents for Apps.

- Build and productionize AI agents, orchestration, retrieval pipelines, evaluation harnesses, and observability running against real customer data.

- Convert existing products and business processes into agents by exposing functionality as callable tools or replacing form-and-click UX with intent-driven interfaces.

- Embed directly with customer engineering teams to run architecture sessions and defend design decisions to stakeholders from VP Engineering to CTO.

- Ensure agent decisions are traceable and defensible, meeting audit and regulatory standards (HIPAA, PCI-DSS, FSI-grade governance).

- Feed field experience back into the platform and practice to shape delivery playbooks.

What we are looking for:

- Excellent communication skills (English) - verbal and written. You will present architecture to customer CTOs and write audit-ready documents.

- Proven experience shipping production agentic AI systems on AWS. Be prepared to walk through what you shipped, the decisions you made, and what broke.

- Deep understanding of agentic architecture including agent design patterns, orchestration (LangGraph, CrewAI), memory management, reflection/self-correction, tool use, and RAG pipelines.

- Strong AWS production experience (Amazon Bedrock, Lambda, API Gateway, DynamoDB, RDS/Aurora, etc.).

- Solid software engineering fundamentals in Python, TypeScript, CI/CD, and infrastructure-as-code.

- 3 - 10 years in engineering roles, with agentic AI / GenAI as your current day job.

Preferred Qualifications:

- Delivery experience in Financial Services, Healthcare, Manufacturing, or Telco/Media.

- Model tuning and fine-tuning (LoRA/QLoRA, instruction tuning, RLHF/DPO) on Amazon Bedrock or SageMaker.

- Experience with compliance-sensitive AI systems (HIPAA, PCI-DSS, SOC 2).

- Knowledge graph, code-analysis (AST), or streaming experience (Debezium, Kafka).

- Proficiency in Java, C++, Go Lang, .Net, or Rust.

- Prior customer-facing consulting or forward-deployed experience.

- AWS certifications (Solutions Architect Professional, Machine Learning Specialty, or Data Analytics).

Why This Role:

- You own outcomes, not tickets. FDEs carry the delivery commitment personally.

- You work agent-native from day one, building with the platform, not around it.

- You ship engagements measured in weeks to production.

- You compound field delivery into the Aedeon platform roadmap.