Junior AI Coding Platform Engineer

Duration: 8 months Contract - W2: Hybrid Role in San Jose, CA Office (Onsite 3 days per week)

Summary:
This role is best suited for a Developer Productivity Engineer who enjoys helping engineers succeed, driving adoption of new technologies, analyzing usage data, and serving as the bridge between users and the AI platform team. The manager is looking for someone who can own the operational success of the Coding AI tool and help maximize its value across the engineering organization.
 
The ideal candidate is not a traditional software developer focused solely on coding. Instead, this is someone who thrives at the intersection of developer tools, AI enablement, technical support, analytics, and stakeholder engagement.
 
Top 3 skills:

• Programming Stack: Python, Go, or Java
• Experience with LLM and AI agents
• Knowledge of AI coding tools

Required Qualifications:

• 3+ years of experience supporting developer tools, engineering platforms, DevOps environments, or developer productivity initiatives.
• Bachelor’s degree in computer science, Engineering, or related field, or equivalent practical experience.
• Experience administering, supporting, or enabling developer-facing tools and platforms.
• Familiarity with AI-assisted coding technologies, large language models (LLMs), and their application within software development workflows.
• Experience with developer environments such as VS Code and related integrations.
• Experience with dashboarding, analytics, and monitoring platforms such as Grafana or Kibana.
• Programming experience in one or more of the following: Python, Go, or Java.
• Familiarity with Jira, ServiceNow, or similar ticketing and support systems.
• Strong problem-solving, troubleshooting, and analytical skills.
• Excellent communication skills with the ability to work effectively across multiple engineering teams.

Success in this role will come from:

• Being a strong advocate for developers and helping them successfully adopt AI-powered development tools.
• Acting as the primary support and escalation point for engineers using the platform.
• Building trust with engineering teams by quickly troubleshooting issues and improving the overall user experience.
• Leveraging data and metrics to understand adoption trends, identify challenges, and measure business impact.
• Working cross-functionally with engineering, product, and AI platform teams to drive continuous improvements.
• Having a genuine interest in emerging AI technologies and how they can improve developer productivity.

Key Responsibilities: 
Drive AI Tool Adoption

• Partner with engineering teams to increase awareness, onboarding, and adoption of ***'s Coding AI platform.
• Support installation, configuration, and ongoing usage of the platform across the engineering organization.
• Gather developer feedback and provide actionable recommendations to enhance the user experience.

Developer Support & Enablement

• Serve as the first point of contact for engineers requiring assistance with the Coding AI tool.
• Troubleshoot and resolve common user issues while coordinating with the platform team on more complex technical problems.
• Create and maintain onboarding materials, knowledge base articles, documentation, FAQs, and training resources.

Metrics, Analytics & Reporting

• Track platform adoption, usage patterns, and effectiveness across teams.
• Develop dashboards and reporting solutions that provide visibility into engagement, trends, and key performance indicators.
• Analyze data to identify opportunities for increased adoption and improved developer productivity.

Collaboration & Continuous Improvement

• Partner closely with the Coding AI platform team on bug resolution, feature requests, and future enhancements.
• Communicate observations, trends, and recommendations to leadership and stakeholders.
• Ensure platform usage aligns with organizational security, access management, and governance requirements.

Preferred Candidate Profile:
The strongest candidates will demonstrate:

• A passion for improving developer productivity and user experience.
• Experience supporting internal engineering platforms on a scale.
• Strong customer service and relationship-management skills.
• The ability to translate technical issues into actionable solutions.
• Comfort working with data, analytics, and adoption metrics.
• Curiosity about AI technologies and enthusiasm for helping engineering teams realize value from AI-powered tools.
• A proactive mindset focused on identifying problems, improving processes, and driving measurable outcomes.