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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** QUALITEST - **Location:** San Diego, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $110,000.0 - $115,000.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Information Engineering, Monitoring of Systems, Python (Programming Language), Machine Learning, OpenAI, Tensorflow, Management of Software Versions, Pinecone, Pytorch, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Generative AI, Agentic-AI, Containerization, Kubernetes, HuggingFace, CrewAI, Weaviate, AutoGen, Machine Learning Operations, FAISS, Claude, Virtual Agents, Docker - **Published:** October 16, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-engineer-san-diego-ca--db0b348c-0100-4089-ad93-e6d95a74d175 ## About the Role * 3+ years of experience with AI/ML engineering or related roles * Strong hands-on experience with Generative AI (GenAI) - LLMs, prompt engineering, fine-tuning * Practical knowledge of AI agents and agentic frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI, or similar) * Proficiency in Python and common ML/AI libraries (PyTorch, TensorFlow, Hugging Face, etc.) * Experience with LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI, etc.) * Experience building RAG pipelines and working with vector databases (Pinecone, FAISS, Weaviate, etc.)Solid understanding of NLP concepts and model evaluation techniques * Experience with cloud platforms (AWS, Azure, or GCP) for AI/ML deploymentFamiliarity with MLOps practices - CI/CD for ML, model monitoring, versioning * Strong problem-solving skills and ability to work in a fast-paced, evolving environment * Excellent communication skills to collaborate with technical and non-technical stakeholders Good to Have * Experience with multi-agent orchestration and tool-calling frameworks * Knowledge of AI governance, responsible AI, and model risk management * Experience with containerization (Docker, Kubernetes) * Exposure to domain-specific AI applications (e.g., healthcare, finance, insurance) ## Description Are you interested in working with the World's leading AI-powered Quality Engineering Company? Ready to advance your career, team up with global thought leaders across industries and make a difference every day? Join us at QualityAI!We are looking for an AI Engineer to join our growing team in United States!Location: United States (remote) About the RoleWe are looking for an experienced AI Engineer to design, build, and deploy AI-powered solutions, with a strong focus on Generative AI (GenAI) applications and AI agent frameworks. The ideal candidate will have hands-on experience building production-grade AI systems and a solid understanding of modern LLM-based architectures.Key Responsibilities1. Design, develop, and deploy machine learning and generative AI models/solutions for business use cases2. Build and orchestrate AI agents capable of autonomous task execution, tool use, and multi-step reasoning3. Fine-tune and optimize large language models (LLMs) for specific domains and applications4. Develop and integrate Retrieval-Augmented Generation (RAG) pipelines5. Collaborate with cross-functional teams (product, data engineering, architecture) to translate business requirements into AI solutions6. Implement prompt engineering best practices and evaluate model outputs for accuracy, safety, and performance7. Build scalable APIs/services to deploy AI models into productionMonitor, evaluate, and continuously improve AI model performance (accuracy, latency, cost)8. Ensure responsible AI practices - bias mitigation, guardrails, and data privacy compliance9. Stay current with emerging AI/ML tools, frameworks, and researchRequired Skills & Qualifications3+ years of experience with AI/ML engineering or related rolesStrong hands-on experience with Generative AI (GenAI) - LLMs, prompt engineering, fine-tuningPractical knowledge of AI agents and agentic frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI, or similar)Proficiency in Python and common ML/AI libraries (PyTorch, TensorFlow, Hugging Face, etc.)Experience with LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI, etc.)Experience building RAG pipelines and working with vector databases (Pinecone, FAISS, Weaviate, etc.)Solid understanding of NLP concepts and model evaluation techniquesExperience with cloud platforms (AWS, Azure, or GCP) for AI/ML deploymentFamiliarity with MLOps practices - CI/CD for ML, model monitoring, versioningStrong problem-solving skills and ability to work in a fast-paced, evolving environmentExcellent communication skills to collaborate with technical and non-technical stakeholdersGood to HaveExperience with multi-agent orchestration and tool-calling frameworksKnowledge of AI governance, responsible AI, and model risk managementExperience with containerization (Docker, Kubernetes)Exposure to domain-specific AI applications (e.g., healthcare, finance, insurance)Why QualityAI?QualityAI is an AI-first quality engineering company helping enterprises deploy and scale complex systems with greater confidence. Operating across data, models, platforms, infrastructure, and operational environments, the company provides assurance and engineering expertise that helps organizations ensure systems perform reliably in real-world conditions.Formerly Qualitest, QualityAI supports global enterprises across regulated and technology-driven industries, combining deep engineering heritage with AI-enabled delivery, operational assurance, and lifecycle expertise to help clients achieve certainty at go-live.Be a part of a company who strives to support for diversity and inclusion in the workplace - we are one, we are many at QualityAI. Celebrate culture, share knowledge with engineers from around the globe, and inspire each other through our differences.Local and global opportunities - we offer you internal rotation and international mobility opportunities to grow your career.Clear view of your career and progression with the company - QualityAI is growing massively (since Jan 2021 - added more than 2000 engineers) and giving you the opportunity to grow with us.Never stop experimenting and learning with QualityAI Tech academy: 3000+ training courses, mentorship programs, technical tribes, sponsored certifications, leadership programs and much more.Earn bonuses via our Client Referral and Employee Referral Program's. Refer and earn - tap your network for net-worth.A Competitive pay, the salary range for the role is $110-115k annually.