Senior AI Developer

Senior AI DeveloperPosition Requirements: · 5+ years of professional software engineering experience, with at least 2+ years dedicated to building, integrating, or deploying LLMs, vector search, or AI pipelines in production environments. · Deep technical proficiency in Python for AI/ML development, alongside working knowledge of C# and.NET Core architectures. · Hands-on experience with vector databases and semantic search technologies · Strong expertise with LLM orchestration frameworks (e.g., Semantic Kernel, LangChain, LlamaIndex, AutoGen). · Proven track record deploying, scaling, and managing AI endpoints within the Azure and Google Cloud ecosystem. · Deep understanding of AI security risks (OWASP Top 10 for LLMs, prompt injection, data leakage) and enterprise encryption/privacy standards. · Ability to work onsite from the Pasadena corporate office four days a week. Education and Experience: · Required: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or equivalent practical/industry experience. · Required: Demonstrated experience delivering end-to-end, production-ready AI or agentic applications.Nice to Have Skills & Experience· Desired: Prior experience building technical leads or mentoring engineering teams on modern cloud and AI practices.Competencies: · Technical Curiosity/Willingness to Learn: Interest in seeking out new experiences, knowledge, and candid feedback; demonstrating an openness to learning and change. · Problem-Solver: Ability to identify, analyze, and solve problems in support of personnel, group, department, or organizational objectives. · Proactivity/Initiative: Recognizes what needs to be done and accomplishes it in a manner appropriate for one's level/position and with minimal supervision. · Teamwork: The ability to effectively work toward common goals with others by supporting, encouraging, and sharing information in an authentic and approachable manner. · Communication: Fosters open, honest, candid and respectful communication; effectively assesses, defines and communicates issues in a timely manner, both written and verbal. · Perseverance: Shows wherewithal to fight for difficult goals despite challenges and to bounce back from adversity. · Motivation/Dedication: Commits to excellence in pursuing unselfish goals. Initiates action with collective goals, takes responsibility, and shows personal humility. · Insight: The ability to gather and make sense of information that suggests new possibilities. · Engagement: Shows a knack for using emotion and logic to communicate a persuasive vision and connect with people. · People Skills: Is approachable and gains the mutual trust and respect of others. Understands people's strengths & weaknesses and actively seeks to understand other perspectives. · Big Picture: Understands and contributes to the organizations' short- and long-term business strategy. On a personal level has independently developed a vision for short- and long-term career success. · Execution: Effectively takes a vision and translates into action by including the right people. Identify and remove barriers, when possible, to achieve results. Demonstrates appropriate compromise, effective time management, prioritization practices and holds team members (including themselves) accountable for their performance/conduct. · Professionalism: Respectfully observes and challenges the status quo with intent for improvement. Can take direction, accept feedback, and take full responsibility for his/her actions. Lead by example through positive influence and ethical leadership with consideration of the entire organization.Job Summary: We are seeking an experienced Senior AI Developer to join our team at our customers corporate Headquarters in Pasadena, California. Reporting to the Sr. Manager, Development Operations, this role will lead the architecture, technical design, and deployment of enterprise Artificial Intelligence solutions across our customers digital infrastructure. You will design Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, custom LLM integrations, and intelligent system automation across our Azure and Google Cloud ecosystem. Working closely with our Applications Architect, you will establish standards for LLMOps, vector search, model evaluation, and secure AI engineering to drive innovation while maintaining rigorous data privacy and cybersecurity standards.Essential Duties and Responsibilities: · Design, build, and deploy production-grade AI solutions, AI agents, and Retrieval-Augmented Generation (RAG) pipelines using enterprise data sources. · Partner with the Applications Architect to turn business requirements into secure, scalable AI microservices within Azure and Google Cloud and .NET backend applications. · Establish and enforce standards for LLMOps, including model evaluation, output validation, hallucination mitigation, latency reduction, and cost optimization. · Implement robust AI security measures, prompt guardrails, and data privacy protocols to protect proprietary business intelligence and ensure regulatory compliance. · Develop and maintain automated data preparation, chunking, and embedding pipelines for structured and unstructured business data. · Evaluate, benchmark, and integrate emerging open-source and foundation models (Gemini, OpenAI, Claude, Llama) and orchestration frameworks. · Conduct architectural reviews, code reviews, and workshops to educate and upskill team members on AI integration design patterns. · Monitor runtime performance, usage metrics, and accuracy of deployed AI agents and models, implementing continuous improvement loops.