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Nextphase • San Mateo, California, United States
Role & seniority: AI/ML Engineer (production-focused), 2+ years’ experience; hands-on architect/deployer of AI automation solutions
Stack/tools: Python, SQL; LLM orchestration (LangChain, LangGraph, LlamaIndex); AI agents/chatbots; RAG architectures; vector databases (Pinecone, Weaviate, FAISS, Qdrant, ChromaDB); cloud (GCP Vertex AI, AWS Bedrock, Azure OpenAI); Kubernetes; integration with enterprise systems
Design and deploy end-to-end AI automation workflows and production-grade ML agents
Implement RAG architectures, optimize chatbot effectiveness, and integrate AI solutions with APIs, databases, and enterprise systems
Deploy secure solutions on major clouds, manage vectorDB-based semantic search, and ensure scalable, maintainable delivery
Strong Python and SQL proficiency
Hands-on experience with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex)
Proven production experience building/deploying AI agents or chatbots; familiarity with RAG and vector databases; cloud deployment and Kubernetes
Workflow automation tools (Power Automate, N8n, Zapier); agent frameworks (crewAI, AutoGen, LangGraph Studio)
ML model training/finetuning (PyTorch, TensorFlow, HuggingFace)
Voice AI integration, FastAPI/Flask/Django, modern AI coding tools (Cursor, Claude Code, Codex, GitHub Copilot)
Location & work type: United States; authorization to work for any employer required; n
WHO WE ARE Nextphase.ai is a Data Management solution provider focused on Data Operations services for enterprise data in the cloud. We are leading the innovation agenda with our clients by delivering a portfolio of services to help them improve data quality and manage data governance for their cloud data. NextPhase.ai data management services are tailored to achieve our client’s business outcomes thus enabling our clients to focus on monetizing their data while we handle data operations. Nextphase.ai provides you with a dynamic and fun work environment and encourages you to use creative thinking to solve client challenges.
What You'll Do You'll architect and deploy end-to-end AI automation solutions for our clients, translating business challenges into elegant technical implementations. This isn't theoretical AI work—you'll ship production systems that solve real problems.
Key Responsibilities Design and optimize AI automation workflows tailored to client needs across various industries Build and deploy production-ready ML models and AI agents using modern frameworks (LangChain, LangGraph, LlamaIndex, crewAI, AutoGen) Implement RAG architectures and evaluate/enhance chatbot effectiveness Integrate AI solutions with enterprise systems, APIs, and databases Deploy secure solutions on major cloud platforms (GCP Vertex AI, AWS Bedrock, Azure OpenAI) Work with vector databases (Pinecone, Weaviate, FAISS, Qdrant, ChromaDB) for semantic search and retrieval
Technical Skills We're Looking For
Who You Are You're pragmatic—you choose the right tool for the job, not the coolest one You can translate technical concepts for non-technical clients You ship working solutions, not just proofs of concept You stay current with AI developments but don't chase every shiny object You're comfortable working independently and managing client relationships You enjoy solving diverse problems across different industries
Experience Level We're looking for folks with 2+ years of relevant experience in AI/ML implementation, though we care more about what you've built than your years in the field.
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship or employment visas currently.
NextPhase.ai is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.