AI Solutions Engineer (Python - APIs) USA
AI Solutions Engineer (Python - APIs) USAAgreement type: Full-time remote employment (40 hours/week), directly hired by the client.Looking for an experienced AI Engineer with strong applied machine learning fundamentals and hands-on experience building production-grade AI systems.You will speak directly with enterprise clients to design, build, and deploy scalable AI solutions. You will serve as a technical expert, guide AI implementation strategy, and ensure the successful delivery of intelligent systems in production environments.What You'll DoPartner directly with enterprise clients to understand requirements and design scalable AI solutionsArchitect and implement intelligent agent systems using frameworks such as LangChain, LangGraph, or CrewAIDesign and deploy Retrieval-Augmented Generation (RAG) pipelinesBuild and integrate LLM-powered applications using platforms such as GPT or GeminiDevelop scalable backend services and APIs in PythonIntegrate AI solutions with enterprise systems (APIs, logs, data sources)Own projects end-to-end: data preparation, model development, deployment, monitoring, and optimizationCollaborate with internal Engineering and Product teams to ensure seamless implementationProvide technical guidance to customers building on the client platformExperience5+ years of experience in AI/ML engineering or backend systemsRecent hands-on experience building LLM or agent-based systemsExperience working in enterprise environmentsTechnical SkillsExperience building scalable backend services and APIsSolid foundation in machine learning, deep learning, and Generative AIExperience with LLM platforms (e.g., GPT, Gemini)Experience with agent frameworks (LangChain, LangGraph, CrewAI)Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS)Professional SkillsStrong English communication and stakeholder management skillsAbility to manage multiple projects independentlySolution-oriented mindset with strong architectural thinkingNice to HaveExperience with AWS, Azure, or Google CloudFamiliarity with MLOps practicesExperience in AI services or startup environmentsJ-18808-Ljbffr