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
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...
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)