AI Coding Tools Engineer
Key Responsibilities
- AI Coding Assistant Evaluation
- Conduct structured evaluations of leading enterprise AI coding assistants, including features, model performance, security, integration complexity, and developer ergonomics.
- 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.
- 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 experience with leading AI Coding Assistants.
- Minimum 3-5 years of experience in software engineering, developer experience engineering, platform engineering, or related roles.
- 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 Bedrock Guardrails, or building RAG/semantic search systems via Vertex AI Search.
- Experience supporting ATO artifacts and design/testing of controls.
About the Role
Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.
Pay
Competitive compensation package.
Schedule
Full-time position.
Benefits
Health insurance, retirement plans, paid time off, and more.
Skills
Experience with leading AI Coding Assistants, integration of AI coding assistants into IDEs, configuration of AI guardrails, preparation of ATO evidence, development of training materials, support of coding assistant operations and maintenance, monitoring platform health, and remediation of integration or platform issues.
Qualifications
Minimum 2 years of experience with leading AI Coding Assistants, minimum 3-5 years of experience in software engineering, developer experience engineering, platform engineering, or related roles, experience integrating or evaluating LLM powered developer tools, understanding of NIST compliance and government cloud environments, familiarity with enterprise DevSecOps practices, modern IDEs, and secure software development lifecycles.
Benefits
Health insurance, retirement plans, paid time off, and more.
Equal Opportunity Employer
Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans, or individuals with disabilities.