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
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