Full stack Engineer- AI Augmented Engineer
Rockville, MD - USA
Job Summary
Hi
This is Aditya Staffing Expert from Nexiva Inc . Im reaching out regarding a Role that aligns well with your experience. Let me know if youre open to discuss . Please check below role and share me your updated Resume with contact details or You can share me a References if any one your known looking an Opportunity!
Job Description
Title: Full stack Engineer- AI Augmented Engineer
Location: Rockville MD or Tysons VA (Hybrid)
Contract: 6 months contract with Extension
Only Local candidates who can take Assessment and only who are in DC/VA/MD who can got for F2F interview
Overview
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 Were 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)
Best Regards
Aditya Shrivastava
Lead Technical Recruiter
Nexiva Inc