Software Engineer- AI Enablement x3

Title: Software Engineer, AI Enablement

Location : Rockville, MD

Target Start Date : ASAP

Type: Contract

Pay Rate: DOE

Architects and builds infrastructure and tooling that power AI agent development across the Software Development Lifecycle (SDLC). Develops production-grade agentic systems, orchestration frameworks, and observability solutions that enable teams to build, deploy, and monitor reliable AI agents at scale. Plays a key role in defining and implementing next-generation, AI-first SDLC practices through innovation and comprehensive instrumentation.

What We're Looking For

You demonstrate strong product sense for identifying high-impact automation opportunities, sound technical judgment in implementation decisions, and the ability to clearly articulate architectural trade-offs. You understand when AI agent solutions are appropriate versus simpler approaches and can confidently explain the reasoning behind design decisions.

You thrive in 0-to-1 and scaling environments, operating effectively in ambiguity where requirements evolve through experimentation and iteration rather than rigid upfront specifications.

Key Responsibilities

AI Agent Development & Automation

Develop production-grade AI agents that eliminate manual handoffs across the SDLC

Create custom integrations and CLI tools that enable agents to understand internal systems and codebases

Design comprehensive testing strategies to ensure agent reliability and output quality

Implement standardized project scaffolding that embeds engineering best practices

Build AI solutions that enhance code navigation, documentation, and developer workflows

Identify workflow bottlenecks and deliver measurable impact through intelligent automation

Drive evolution of the SDLC by identifying AI-first opportunities and validating outcomes through experimentation

Agent Infrastructure & Platform

Architect and maintain production infrastructure supporting agent deployment, lifecycle management, and scalability

Develop agent frameworks, templates, and SDKs that accelerate development

Implement governed communication protocols for compliant agent-to-agent interactions

Establish governance controls for agent behavior, permissions, and system access

Observability & Performance Analytics

Design and implement metrics, monitoring, and logging infrastructure for AI agents and developer workflows

Build dashboards that provide actionable insights into productivity, tool adoption, and agent performance

Define KPIs and measurement frameworks to quantify automation impact

Implement alerting and anomaly detection systems to ensure reliability

Analyze telemetry data to identify optimization opportunities and inform strategic investment decisions

Collaboration & Impact

Partner across teams to drive adoption of AI-powered tooling and process transformation

Stay current with LLM technologies and promote AI-assisted development best practices

Rapidly prototype solutions to validate use cases and demonstrate value

Communicate data-driven insights through clear visualizations and reporting

Preferred Qualifications

5 7+ years of software engineering experience building production systems

Experience developing agentic systems using LLM orchestration frameworks

Hands-on expertise with AI-powered development tools (code assistants, AI-enhanced editors)

Strong understanding of SDLC, system design, and internal tooling development

Experience with observability practices including metrics collection, logging frameworks, and dashboard development

Full-Stack Technical Proficiency

Languages: Java, Python, JavaScript/TypeScript

Frameworks: Angular, Spring Boot

CI/CD platforms and cloud infrastructure (AWS)

Monitoring and observability tools (e.g., Prometheus, Grafana, Cloud-native monitoring tools)

Strong interest in transforming software development through AI-driven innovation and data-informed decision-making.

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