Staff Software Engineer (AI Enablement)
Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Aug 29, 2026. ID.me scores B on the Alion truth index.
Join D.me as a Staff Software Engineer (AI Enablement) and lead the technical design, architecture, and execution of our internal developer platform and AI-driven automation infrastructure. You will be responsible for building key developer tools, multi-agent workflows, and LLM orchestration systems that empower engineering teams to build, deploy, and operate services efficiently at scale. This role is focused entirely on internal developer experience and requires hands-on development, architectural pattern establishment, and AI safety guardrail implementation.
Missions
- Lead the technical design, architecture, and execution of the internal developer platform and AI-driven automation infrastructure.
- Build key developer tools, multi-agent workflows, and LLM orchestration systems that target internal engineering workflows.
- Establish architectural patterns, build stateful AI agent workflows, and set AI safety guardrails across the engineering organization.
Profil recherché
- Strong hands-on coding skills in modern programming languages such as Java, Python, or Go- Demonstrated technical leadership: Must have formal experience mentoring 2+ engineers, leading architecture review processes, or acting as the primary technical lead for a multi-engineer project team
- Bachelor’s or Graduate degree in Computer Science, Software Engineering, or a related technical field
- 8+ years of professional software engineering experience developing backend systems, distributed architectures, or core platform tools
- Deep experience in microservices architecture, RESTful web services, and event-driven architectures
- 2+ years of experience operating explicitly at a Staff or Principal engineering scope
- AI Agents & LLM Orchestration: Hands-on experience building agentic workflows, multi-agent systems, and LLM integrations using LangGraph, AWS Bedrock, OpenAI API, and Anthropic API
- Infrastructure as Code (Terraform): Extensive, practical experience specifically using Terraform for cloud provisioning, state management, and scalable infrastructure deployment
- Domain Abstractions: Experience developing Domain-Specific Languages (DSL), Finite State Machines (FSM), and dynamic agent routing algorithms
- Data & State Infrastructure: Strong experience with Redis, Kafka, PostgreSQL, NoSQL databases, and streaming platforms
- Platform Infrastructure: Practical experience with containerization (Docker, Kubernetes) and cloud deployment on AWS
- System Resilience: Experience implementing reliability patterns such as Dead Letter Queues (DLQs), sidecar monitoring, automated secret management, and self-healing mechanisms
- Collaboration & Influence: Proven ability to mentor engineers, influence architectural choices, and partner across cross-functional product and security teams