Artificial Intelligence Engineer

Position: AI/Python Architect

Job Location: Newport Beach, CA

Job Type: Full Time

Immediate Interview

Role Overview

We are seeking a hands-on Senior Development Manager to lead the design and delivery of AI-enabled software platforms, internal tools, and data-driven applications.

This role is centred on software engineering leadership. You will manage and mentor a team of developers while remaining technically involved in architecture, design, and critical implementation work. The focus is on building high-quality, scalable software systems using Python, modern web technologies, and AI-assisted development approaches.

A strong candidate will also bring practical experience in building Retrieval-Augmented Generation (RAG) applications, as well as designing and implementing agentic workflows and agent-based AI systems.

Key Responsibilities

Engineering & Architecture

• Lead the design and development of AI-enabled applications and internal platforms
• Build and maintain Python-based services, APIs, and data-processing components
• Define and enforce software architecture standards, coding practices, and quality benchmarks
• Drive adoption of modern development workflows, including automated testing and CI/CD
• Review designs and code to ensure maintainability, scalability, and correctness

AI, Agentic Systems & Automation

• Design and build RAG-based applications using LLMs, embeddings, vector databases, and knowledge retrieval pipelines
• Build and maintain agentic workflows and AI agents for task automation, reasoning, orchestration, and decision support
• Identify opportunities to apply AI and data analysis to improve efficiency, insight, and user experience
• Guide the team in the effective use of AI-assisted development tools
• Build intelligent automation to reduce repetitive manual effort across systems and workflows
• Evaluate and implement modern AI patterns such as tool use, memory, orchestration, prompt workflows, and multi-step execution pipelines

Team Leadership

• Manage, mentor, and develop a globally distributed team of software engineers
• Plan and execute work using Agile / Lean methodologies (sprint planning, prioritization, delivery tracking)
• Provide technical guidance, coaching, and performance feedback
• Foster a strong engineering culture focused on ownership, quality, and continuous improvement

Collaboration & Platform Strategy

• Partner with stakeholders to translate requirements into well-defined technical solutions
• Lead tooling and platform decisions, including evaluation of new technologies and retirement of legacy systems
• Coordinate with infrastructure and platform teams as needed to ensure successful deployments

Required Qualifications

Experience

• 7 years of professional experience in software development, with prior responsibility for technical leadership or people management
• Demonstrated success delivering complex internal software platforms or tools
• Experience balancing hands-on engineering work with team leadership
• Hands-on experience building and deploying RAG applications
• Experience designing and implementing agentic workflows, AI agents, or agentic systems

Technical Skills

• Strong Python development experience with solid object-oriented design principles
• Experience designing, coding, testing, and delivering production-quality software
• Proficiency in modern JavaScript and TypeScript, including type systems and current language patterns
• Experience building React-based user interfaces using modern practices (hooks, context, component-driven design)
• Intermediate SQL and relational database experience
• Strong understanding of:
• Git-based version control and collaborative workflows
• Automated testing and CI/CD pipelines
• Reading and understanding existing codebases
• Familiarity with AI application components such as:
• LLMs / foundation models
• Embeddings and vector databases
• Prompt engineering and evaluation
• API integrations and workflow orchestration

Education

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
• Advanced degree is a plus but not required

Good to Have (Optional)

• Exposure to SRE or reliability engineering concepts (monitoring, observability, incident analysis)
• Familiarity with Infrastructure as Code tools such as Terraform
• Experience with cloud platforms (e.g., AWS, Azure, GCP)
• Experience with analytical or data-intensive systems
• Exposure to frameworks and tooling related to:
• LLM orchestration
• AI observability / evaluation
• workflow automation
• agent frameworks

Personal Attributes

• Strong problem-solving and analytical skills
• Builder mindset with a bias toward automation and simplification
• Clear communicator able to work across technical and non-technical teams
• High ownership, accountability, and attention to quality

Commitment to learning and continuous improvement