Senior AI Developer

Insight Global; Pasadena (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Insight Global is seeking an experienced Senior AI Developer to lead architecture, design, and deployment of enterprise AI solutions at the Pasadena headquarters. You will architect RAG pipelines, agentic workflows, and secure AI integrations across Azure and Google Cloud, ensuring data privacy and cybersecurity compliance.

You will drive standards for LLMOps, vector search, model evaluation, and responsible AI practices while mentoring peers and collaborating with a cross-functional team.

Qualifications

• 5+ years of software engineering experience with at least 2+ years building, integrating, or deploying LLMs and AI pipelines.
• Strong Python skills; working knowledge of C# and .NET Core architectures.
• Hands-on experience with vector databases and semantic search.
• Expertise with LLM orchestration frameworks such as Semantic Kernel, LangChain, LlamaIndex, AutoGen.
• Proven track record deploying AI endpoints in Azure and Google Cloud ecosystems.
• Deep understanding of AI security risks and enterprise encryption/privacy standards.
• Ability to work onsite from the Pasadena corporate office four days a week.

Responsibilities

• Design, build, and deploy production-grade AI solutions and RAG pipelines.
• Partner with Applications Architect to create secure AI microservices in Azure and Google Cloud.
• Establish and enforce LLMOps standards, model evaluation, and latency/cost optimization.
• Implement AI security measures, guardrails, and data privacy protocols.
• Develop automated data prep, embedding pipelines, and vector-based workflows.
• Evaluate and integrate emerging models and orchestration frameworks; conduct reviews and workshops.
• Monitor performance, usage, and accuracy of AI agents and models; drive continuous improvement.

Skills

Python for AI/ML

C# & .NET Core

Vector databases

LLM orchestration frameworks

Azure & Google Cloud

Security & privacy understanding

Education

Bachelor’s degree in CS/AI/DS

Tools

Semantic Kernel

LangChain

LlamaIndex

AutoGen

OpenAI models

Job description

Job Description

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.

Skills and Requirements

Position 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.
• 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.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].