Senior Applied AI/ML Engineer – NLP, CV & Hugging Face
Work Type: Full Time Experience Required: 8 years software engineering with AI/ML focus, 3 years technical leadership About The Company • Our client is a leading technology consulting firm specializing in intelligent systems and AI-powered solutions. They work with enterprise clients to architect and deploy cutting-edge AI applications, from generative AI copilots to complex machine learning pipelines, helping organizations transform their operations through advanced artificial intelligence. Job Overview • Join as a Senior AI Engineer leading the architecture and implementation of advanced AI and machine learning systems that solve complex business problems. You’ll work at the forefront of generative AI, building LLM-based applications, AI copilots, and intelligent workflows while mentoring engineering teams and driving AI strategy for enterprise clients. Key Responsibilities • Architect and implement advanced AI/ML systems solving complex business challenges • Lead design and deployment of LLM-based applications using LangChain, LlamaIndex, and vector databases • Develop end-to-end ML pipelines from data acquisition and model training to deployment and monitoring • Design and build AI copilots, agents, and generative workflows integrated into modern software ecosystems • Apply deep expertise in NLP, computer vision, or predictive modeling for intelligent, real-time systems • Evaluate and fine-tune foundation models for custom enterprise use cases • Collaborate with cross-functional teams (product, design, engineering) to define intelligent experiences • Implement RAG, semantic search, and multi-modal reasoning technologies • Contribute to internal AI frameworks and accelerators to speed solution delivery • Mentor engineers on AI architecture, model lifecycle best practices, and ethical ML use • Lead client-facing discussions on AI strategy and technical implementations Must-Have Requirements • 8 years software engineering experience with strong AI/ML and intelligent systems focus • 3 years technical leadership role building and deploying ML systems in production • Deep Python expertise and modern AI/ML libraries (PyTorch, TensorFlow, Hugging Face Transformers) • LLM experience with OpenAI, Anthropic, Cohere, open source LLMs, and prompt engineering • Vector database familiarity (Pinecone, Weaviate, FAISS) and scalable ML infrastructure • AI system design knowledge including data engineering for ML, model evaluation, MLOps practices • Full-stack AI integration experience in cloud-native environments, specifically AWS • Strong communication skills and consulting mindset for client-facing AI strategy discussions • Innovation passion for experimentation and shaping the future of applied AI Nice-to-Have Skills • Advanced degree in Computer Science, AI/ML, or related technical field • Multi-modal AI experience combining vision, language, and reasoning capabilities • Enterprise AI deployment experience with scalability, security, and compliance requirements • Research background with publications in AI/ML conferences or journals • Domain expertise in specific verticals (healthcare, finance, retail, etc.) • Open source contributions to AI/ML frameworks or communities Work Environment & Culture • Remote-first consulting environment with collaborative, innovation-focused culture • Cutting-edge technology exposure with access to latest AI tools and platforms • Client variety across industries and use cases, from startups to Fortune 500 • Professional development opportunities and conference attendance support • Technical leadership path with mentoring and architectural decision-making responsibilities Apply tot his job