AI Engineer II (Remote)

About the role

This position involves taking full responsibility for developing and deploying sophisticated AI systems. You will work on building new AI platforms, creating automated processes, and integrating AI solutions into our products and operations. The role requires tackling complex challenges and collaborating with various teams to deliver impactful AI capabilities.

Key facts

What you'll do

• Lead the design and creation of AI platforms and systems, including those built from the ground up.
• Manage the entire lifecycle of complex projects, from initial problem identification to system design, deployment, and ongoing improvements.
• Develop AI-driven features, intelligent automation, and orchestration systems to enhance user experiences and team efficiency.
• Integrate AI functionalities into customer-facing applications, internal tools, and operational workflows.
• Construct full-stack systems encompassing backend services, APIs, data management, and user interfaces.
• Transform ambiguous business and operational challenges into scalable, maintainable AI-powered technical solutions.
• Apply systems thinking to ensure the reliability, performance, security, and auditability of developed platforms.
• Collaborate with engineering, product, and operational teams to identify and implement high-impact AI opportunities.
• Provide support for production systems and participate in incident response for owned systems.
• Mentor other AI team members through code reviews and design feedback to elevate team quality.

Requirements

• 3 to 5 years of professional experience in software engineering, AI engineering, platform engineering, or a similar field.
• Practical experience in designing, building, and deploying AI-powered systems into production.
• Strong command of Python, SQL, and frontend frameworks like React.
• Demonstrated ability to design and own production-ready full-stack systems.
• Experience with distributed systems, internal platforms, or intricate data processing pipelines.
• Proven experience using Claude or similar large language model tools to enhance productivity, research, and communication.
• Ability to navigate unclear problem spaces and drive solutions with minimal supervision.

Nice to have

• Experience building AI-first platforms or internal products from their initial architectural stages.
• Solid understanding of core machine learning and data science principles, including various learning types, feature engineering, model assessment, and statistical inference.
• Familiarity with transformer architectures (e.g., BERT, GPT) and concepts like attention mechanisms, tokenization, and fine-tuning for specific applications.
• Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
• Knowledge of embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (e.g., Pinecone, Weaviate, pgvector).
• Experience with Natural Language Processing (NLP) techniques such as text classification, named entity recognition, semantic search, and information extraction.
• Exposure to cloud development, particularly with AWS.
• Understanding of prompt engineering, retrieval-augmented generation (RAG), and common LLM application patterns.
• Experience with containerized environments and orchestration tools like Docker and Kubernetes.
• Familiarity with CI/CD pipelines and modern development practices (e.g., GitLab).
• Experience with Golang, or a willingness to learn it.

Skills & tools

• Python
• SQL
• React
• Claude (or equivalent LLM)
• AWS (preferred)
• Docker (preferred)
• Kubernetes (preferred)
• GitLab (preferred)
• Golang (preferred)

Practical notes

• This is a remote position.
• #Li-remote
• #full-time