AI-Powered SDLC Engineer

e&e IT Consulting Services, Inc.; Harrisburg (Dauphin County); On-site; USD 83,000 - 152,000; Full time

Job summary

e&e IT Consulting Services, Inc. seeks an AI Harness Engineer to design, build, and evolve an AI-powered SDLC harness that supports development activities from requirements intake through delivery, with strong emphasis on governance, security, and human oversight.

The role combines solid software engineering with hands-on experience in LLM-powered applications, AI agents, orchestration, and systems integration to deliver pipeline-ready, auditable software and automated workflows.

Qualifications

• Strong professional software engineering background with demonstrated ability to design, develop, test, and maintain production-quality applications.
• Hands-on experience developing LLM-powered applications, AI agents, or agentic workflows.
• Experience with agent orchestration, tool and skill design, structured outputs, retrieval, and context management.
• Strong understanding of evaluation methodologies, testing strategies, and guardrails for non-deterministic AI systems.

Responsibilities

• Design and build an extensible AI-powered SDLC harness capable of supporting the development lifecycle from requirements intake through pipeline-ready delivery.
• Develop AI agents and reusable skills that support governance, architecture, requirements, development, testing, review, and delivery activities.
• Create orchestration workflows that coordinate multiple agents, tools, skills, and lifecycle stages.
• Encode organizational standards, approval processes, compliance requirements, and data-privacy controls as enforceable checks within the harness.
• Support architecture and system design activities while helping ensure implementations remain aligned with approved designs and technical standards.

Job description

e&e IT Consulting Services, Inc. seeks an AI Harness Engineer to design, build, and evolve an AI-powered SDLC harness that supports development activities from requirements intake through delivery, with strong emphasis on governance, security, and human oversight.

The role combines solid software engineering with hands-on experience in LLM-powered applications, AI agents, orchestration, and systems integration to deliver pipeline-ready, auditable software and automated workflows.