Senior AI Coding Engineer in Birmingham

Energy Jobline ZR; Birmingham; Vor Ort; GBP 105.000 - 142.000; Vollzeit

Zusammenfassung

Energy Jobline ZR in Birmingham is seeking a Senior AI Coding Engineer to lead rollout and ongoing support of enterprise coding agent tools such as GitHub Copilot and OpenAI Codex. This hands-on role requires running platforms in production, setting policies, managing access, and securing deployments across engineering teams.

You will build tooling, APIs, and test harnesses in AWS, collaborate with engineers, enforce least-privilege access for humans and agents, and guide adoption of multi-agent

Qualifikationen

• 5+ years hands-on experience running GitHub Copilot and/or OpenAI Codex in a production setting — configuring, administering, and troubleshooting, not just experimenting.

Aufgaben

• Lead rollout and configuration of coding agent tools across engineering teams; set up org-level policies, manage access, and tune agent behavior.
• Build supporting tooling — APIs, automation scripts, test harnesses — to keep agents reliable and secure at scale in AWS.

Kenntnisse

GitHub Copilot

OpenAI Codex

Policy management

Access management

MCP servers

IAM / AWS IAM

Bedrock

Python REST APIs

Security testing

Multi-agent workflows

GPTs / agents

Bash scripting

PowerShell

Bachelor's degree

Ausbildung

Bachelor's degree in Computer Science or related field

Jobbeschreibung

Job DescriptionJob Description

Job Title: Senior AI Coding Engineer

Duration: Full Time / Permanent Position

Location: Birmingham, AL, Knoxville, TN or Lafayette, LA

Work Mode: 5 Days Onsite

Systemone is looking for a Senior AI Coding Engineer to lead the rollout, configuration, and ongoing support of enterprise coding agent tools such as GitHub Copilot and OpenAI Codex. This is a hands‑on role for someone who has actually run these platforms in a live production environment — not just built a proof of concept.

Your Future Duties and Responsibilities

You’ll be the go‑to person for getting coding agents working safely and effectively across engineering teams: setting up org‑level policies, managing access and permissions, tuning agent behavior, and making sure everything holds up from a security standpoint. You’ll also build out the supporting tooling — APIs, automation scripts, test harnesses — needed to keep these agents reliable and secure at scale, primarily within an AWS environment.

This role calls for someone comfortable working independently, digging into tricky integration issues, and setting the technical direction for how coding agents get adopted across the organization. You’ll partner closely with engineering teams to troubleshoot problems, validate agent behavior, and enforce least‑privilege access for both human users and autonomous agents.

Required Qualifications to Be Successful in This Role

• 5+ years hands‑on experience running GitHub Copilot and/or OpenAI Codex in a production setting — configuring, administering, and troubleshooting, not just experimenting.
• Comfortable managing enterprise‑level policies: user/group access, repo permissions, tool access, model configuration, and usage controls.
• Experience building and securing MCP (Model Context Protocol) servers — scopes, permissions, auth, propagation, credential handling, least‑privilege boundaries.
• Solid grasp of and access management — SSO, SAML, OAuth 2.0, OIDC, SCIM, RBAC, JWT/bearer tokens, and the difference between authentication and authorization (for people and agents).
• Strong AWS background, especially Bedrock/Bedrock Agents, IAM, ECS, Lambda, API Gateway, CloudWatch, Secrets Manager, and general VPC/networking know‑how.
• Strong Python skills — building REST APIs, automation utilities, integration services, and test/validation frameworks.
• Background in security testing for agents: unauthorized access scenarios, privilege escalation, token handling, prompt injection/tool abuse testing, and building repeatable evaluation frameworks.
• Experience building or configuring custom agents, GPTs/assistants, tool integrations, and multi‑agent workflows.

Desired Skillset

• Bash/shell scripting, PowerShell, and dedicated AI security testing experience.

Educational Requirements

Bachelor's degree in Computer Science, Information Systems, or a related field.