Senior Software Engineer – Technical Coach (AI/ML)

Core Responsibilities

• Coach software teams in immersive technical coaching environments and support engineering excellence initiatives
• Evaluate products and architectures to identify opportunities for improvement and increased delivery efficiency
• Facilitate value stream mapping sessions and identify opportunities to increase flow and eliminate waste
• Serve as a subject matter expert on modern engineering, architecture, and DevOps practices
• Mentor engineers and architects while providing hands-on guidance and problem solving
• Lead pair programming and collaborative learning sessions to maximize team effectiveness
• Develop and implement technical coaching interventions and contribute to engineering culture improvements

Requirements

• Bachelor's degree in Computer Science or related field
• Technical coaching and mentoring experience
• 8+ years of hands-on software development experience
• Experience with AI and Machine Learning technologies
• Strong Java and/or Python development experience
• Experience with TDD, object-oriented design patterns, refactoring, and automation
• Experience supporting Agile and DevOps teams and CI/CD practices
• Experience with LLMs, CNNs, RNNs, Agentic AI, Autonomous Agents, RAG architecture, and MLOps
• Experience with Kubernetes and Docker
• Experience with AWS and Azure cloud platforms
• Experience with Spring Boot, FastAPI, Angular, or React
• Experience with SQL and relational database design
• Experience with GitHub, Azure DevOps, Kafka, REST APIs, or GraphQL
• Experience with test automation frameworks and performance optimization

Qualifications

• Strong Communication and Influence
• Innovation and Problem Solving

Skills

• Technical Coaching and Mentorship
• Engineering Excellence and Continuous Improvement
• Cross-Functional Collaboration

Benefits

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

Pay

The approximate pay range for this position is between $65.00 and $70.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

Schedule

Hybrid, onsite 4 days per week