Coding Tools Engineer (Sr. AI Full-Stack Engineer with Coding Tools [Claude Code, Codex] and agentic AI

Ampcus Inc; Chantilly (VA); On-site; USD 120,000 - 190,000; Full time

Job summary

Ampcus Inc. is seeking an AI Coding Tools Engineer (GenAI & Agentic Systems) to evaluate, pilot, operationalize, and scale secure AI coding assistant tools across the enterprise. This role partners with Security, Training, and Enablement teams to ensure governance and adoption.

The candidate will integrate assistants into IDEs (VS Code), CLI workflows, and source control, while aligning with enterprise guardrails and NIST requirements.

Qualifications

• 2+ years hands-on with AI coding assistants (Claude Code, Codex, Cursor, Cline).
• 3–5 years in software/DevOps related roles; 2+ years in AI product/automation.

Responsibilities

• Evaluate and pilot enterprise AI coding assistants including features, security and integration complexity.
• Integrate coding assistants into IDEs, terminals, and source control workflows; configure guardrails per enterprise/NIST.
• Prepare ATO evidence with security teams; update SSPs and risk registers; maintain monitoring artifacts.
• Develop training and end-user guides with enablement teams; support office hours to accelerate adoption.

Skills

AI product/automation development

DevSecOps

LLM tooling experience

Security compliance

NIST familiarity

IDE integration

Adoption analytics

Tools

VS Code

Bedrock GovCloud

Azure OpenAI Gov

Vertex AI Assured Workloads

Job description

We're hiring! Candidates who are authorized to work in the U.S. without sponsorship are encouraged to apply. Candidates must also be eligible to obtain a Public Trust clearance.

The AI Coding Tools Engineer (GenAI & Agentic Systems) evaluates, pilots, operationalizes, maintains, and scales adoption of secure AI coding assistant tools across the enterprise.

KEY RESPONSIBILITIES

• Conduct structured evaluations of leading enterprise AI coding assistants, including features, model performance, security, integration complexity, and developer ergonomics.

2. AI Coding Assistant Piloting, Launching & Adoption Support

• Integrate coding assistants into IDEs (VS Code), terminals/CLI workflows, and source control ecosystems.
• Configure AI guardrails, including content filtering, prompt shielding, and role based access controls aligned with enterprise and NIST requirements.
• Work with Security Team to prepare ATO evidence, including SSP updates, control narratives, risk registers, and continuous monitoring artifacts.
• Work with Training and Enablement Team to develop training, compliance, and end-user/best practice guides.
• Support Coding Assistant "office hours" to support developer enablement and accelerate adoption.
• Collect user feedback, track adoption metrics, and iteratively refine usage patterns for different developer roles.

3. AI Coding Assistant Operations & Maintenance Support

• Monitor platform health and guardrail performance.
• Support analysis and remediation of integration or platform issues impacting the coding assistants.
• Track, evaluate, and support application of coding assistant updates and patches.

REQUIRED QUALIFICATIONS

• Minimum 2 years of hands‑on experience with leading AI Coding Assistants (e.g., Claude Code, Codex, Cursor, Cline).
• Minimum 3-5 years of experience in software engineering, developer experience engineering, platform engineering, or related roles, with at least 2 years of focused AI product/automation development.
• Experience integrating or evaluating LLM powered developer tools (e.g., code completion, chat based programming assistance, test generation, refactoring tools).
• Understanding of NIST compliance and government cloud environments.
• Familiarity with enterprise DevSecOps practices, modern IDEs, and secure software development lifecycles.

PREFERRED QUALIFICATIONS

• Direct experience leading enterprise adoption of AI coding assistants (pilot design, rollout planning, governance alignment).
• Hands on experience with Amazon Bedrock GovCloud, Azure OpenAI (Gov), and/or Vertex AI (Assured Workloads) for production workloads.
• Experience building multi step agent workflows on Bedrock Agents, implementing guardrails and building RAG/semantic search systems.
• Experience supporting ATO artifacts and design/testing of controls.