🚀 AI/ML Engineer (GenAI | AI Agents | LangChain | LangGraph | Remote | US Projects)

🧠 About the Role We are expanding our remote engineering team and are looking for experienced AI/ML Engineers to design, develop, and deploy modern AI-powered applications and intelligent software systems for US-based clients. This is a hands-on AI/ML engineering position focused on Generative AI, AI Agents, Large Language Models, Retrieval-Augmented Generation (RAG), machine learning, and modern AI application development. We are particularly interested in engineers who have practical experience working with Generative AI, AI Agents, LangChain, LangGraph, Pinecone, LLM APIs, RAG systems, embeddings, and modern machine learning technologies. The ideal candidate should be comfortable taking AI systems from concept and experimentation through development, integration, testing, deployment, and production optimization. The role may also involve technical discussions with US-based clients and stakeholders, so strong professional English communication and the ability to explain AI concepts clearly are important parts of the position. 🎯 Key Responsibilities • Design, develop, and deploy production-ready Generative AI and machine learning applications • Build intelligent AI agents and agentic workflows capable of reasoning, tool usage, task execution, and multi-step interactions • Develop LLM-powered applications using modern foundation models and AI APIs • Build and optimize Retrieval-Augmented Generation (RAG) pipelines using embeddings, vector databases, retrieval systems, and contextual generation • Work with frameworks such as LangChain and LangGraph to develop LLM workflows and agent-based systems • Implement and maintain vector search and knowledge-retrieval systems using technologies such as Pinecone • Integrate AI models and services from providers such as OpenAI, Google Gemini, Anthropic, Hugging Face, or similar platforms • Develop prompt engineering, structured generation, function/tool calling, and context-management strategies • Build AI systems capable of integrating with external APIs, databases, SaaS platforms, and internal business systems • Develop, evaluate, test, and improve AI model outputs for accuracy, reliability, relevance, and consistency • Apply machine learning techniques to real-world business and technical problems where appropriate • Work with structured and unstructured data to develop intelligent data-processing and inference pipelines • Monitor AI applications in production and improve performance, latency, reliability, and cost efficiency • Collaborate with engineering, product, QA, and other technical teams to turn business requirements into practical AI solutions • Participate in technical planning, architecture discussions, code reviews, experimentation, and AI system design ✅ Mandatory Requirements • Minimum 2+ years of professional experience in AI/ML, Machine Learning Engineering, Generative AI, or related software engineering roles • Strong practical experience developing AI/ML or Generative AI applications • Strong understanding of Generative AI and Large Language Models (LLMs) • Professional experience with AI Agents / Agentic AI systems • Hands-on experience with LangChain and/or LangGraph • Experience with vector databases or vector search technologies, particularly Pinecone • Strong understanding of RAG architectures, embeddings, semantic search, and information retrieval • Experience integrating and working with LLM APIs and foundation models • Strong Python programming skills and familiarity with modern AI/ML development frameworks • Understanding of machine learning concepts, model development, evaluation, and deployment • Experience working with APIs, databases, data pipelines, and production software systems • Strong understanding of prompt engineering, context management, structured outputs, tool/function calling, and LLM application design • Near-native English proficiency (C2 level — spoken and written) • Ability to communicate clearly and professionally with US-based clients and technical stakeholders • Availability to overlap with US business hours (EST / PST / CT) • Strong analytical thinking, experimentation, debugging, and problem-solving abilities • High level of ownership, accountability, reliability, and professionalism ➕ Preferred Qualifications • Experience building multi-agent or autonomous AI systems • Advanced experience with LangGraph, LangChain, or similar AI orchestration frameworks • Experience with Pinecone or other vector databases such as Weaviate, Qdrant, Milvus, or Chroma • Experience building sophisticated RAG pipelines and knowledge-based AI systems • Experience with OpenAI, Gemini, Claude, Hugging Face, Llama, or other modern foundation models • Familiarity with AI evaluation, observability, tracing, and monitoring • Experience with LLM fine-tuning, model adaptation, or advanced inference techniques • Familiarity with PyTorch, TensorFlow, scikit-learn, or other machine learning frameworks • Experience deploying AI systems using AWS, GCP, Azure, Docker, Kubernetes, or similar infrastructure • Experience building AI-powered SaaS products, enterprise applications, or production systems • Familiarity with multimodal AI involving text, images, audio, or video • Experience with AI-powered automation, workflow orchestration, or intelligent business processes • Previous experience working directly with US or international clients • Previous experience working within remote or distributed engineering teams • Client-facing technical, consulting, or solution-architecture experience 💡 What We Value We’re looking for AI/ML engineers who can: • Build practical, reliable, and production-ready AI systems • Turn emerging AI technologies into useful real-world applications • Design effective LLM, RAG, and agent-based architectures • Understand both the capabilities and limitations of modern AI models • Experiment rapidly while maintaining strong engineering standards • Evaluate AI outputs and continuously improve system quality • Write clean, maintainable, well-documented production code • Solve complex technical problems independently • Take ownership of AI projects from initial requirements through production deployment • Explain complex AI/ML concepts clearly to both technical and non-technical stakeholders • Adapt quickly as AI technologies, models, frameworks, and best practices evolve • Collaborate effectively with engineers, product teams, QA, and clients 💰 Compensation & Career Growth • Hourly Rate: $92–$115/hour • Expected Workload: 20–30 hours per week • Typical Monthly Earnings: $12,000–$15,000 • Long-term, full-time opportunity (5–6+ years) • Strong opportunities for advancement into Senior AI/ML Engineer, AI Architect, Lead AI Engineer, Engineering Manager, and other technical leadership positions 📩 Application Instructions Please include: • A summary of your AI/ML and Generative AI engineering experience • Your primary AI/ML technologies and areas of specialization • Details of your experience with GenAI, AI Agents, LangChain, LangGraph, Pinecone, RAG, LLMs, and machine learning • The LLMs, AI APIs, frameworks, vector databases, and infrastructure you have worked with • Portfolio, GitHub profile, AI projects, or examples of relevant production systems • Details of any experience working directly with US or international clients • A short introduction video or voice recording (highly preferred) • Your availability to work with US time zones For the introduction recording, please briefly introduce yourself, describe your AI/ML engineering background, explain your primary AI technology stack, and highlight one or two relevant Generative AI, AI-agent, RAG, or machine learning projects you have worked on. Since the role may involve communication with US-based clients, please demonstrate clear, fluent, confident, and natural professional English suitable for a US business environment, including clear pronunciation, natural conversational flow, and the ability to explain technical AI concepts comfortably during live discussions. 🚀 Additional Information This opportunity is intended for AI/ML Engineers who are actively working with modern AI technologies and want to build production-level intelligent systems for an internationally focused engineering team. We are particularly interested in engineers who have moved beyond purely theoretical ML work and have hands-on experience building real-world AI applications, especially involving Generative AI, LLMs, AI Agents, RAG, LangChain, LangGraph, Pinecone, and modern machine learning technologies. Whether your strongest background is in Generative AI, AI Agents, Machine Learning, LLM application development, RAG systems, or AI-powered software engineering, we are interested in candidates who can demonstrate strong technical capabilities, practical AI engineering judgment, continuous learning, professional communication, and a genuine interest in long-term collaboration. All communication, interviews, assessments, and discussions prior to contract initiation will be conducted exclusively through Upwork.