Senior AI Engineer

Job Title: Senior AI Engineer

Location: Remote

Duration: 12+ months

Term: Contract

Job Description:

• Architect and implement advanced AI and machine learning systems that solve complex business problems
• Lead the design and deployment of LLM-based applications using frameworks like LangChain, LlamaIndex, and vectordatabases
• 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 that integrate seamlessly into modern software ecosystems
• Apply deep expertise in NLP, computer vision, or predictive modeling to build intelligent, real-time systems
• Evaluate and fine-tune foundation models for custom enterprise use cases
• Collaborate with cross-functional product, design, and engineering teams to define intelligent experiences
• Explore and implement retrieval-augmented generation (RAG), semantic search, and multi-modal reasoning techniques
• Contribute to internal AI frameworks, toolkits, and accelerators to speed up solution delivery
• Mentor engineers on AI architecture, model lifecycle best practices, and ethical/secure use of machine learning

Requirements:

• 8+ years of software engineering experience with a strong focus on AI/ML and intelligent systems
• 3+ years in a technical leadership role, building and deploying machine learning systems in production
• Deep expertise in Python and modern AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers)
• Experience with large language models (OpenAI, Anthropic, Cohere, open source LLMs) and prompt engineering
• Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and scalable ML infrastructure
• Knowledge of AI system design, data engineering for ML, model evaluation, and MLOps practices
• Strong understanding of NLP, generative AI, embeddings, and semantic search
• Experience integrating AI capabilities into full-stack applications and cloud-native environments, specifically within AWS.
• Strong communication skills and a consulting mindset-able to confidently lead client-facing

Key Skills:

Python, NLP, LLM, AWS, OpenAI, Anthropic, Cohere, AI.