Senior AI Engineer

About the role

**W2 Only** We are Hiring for Senior AI Engineer. This role is ideal for a hands-on Principal Engineer who thrives at the intersection of AI, data engineering, cloud architecture, and product innovation.

About the Role

Successful candidates will possess the technical depth to architect and build complex solutions while also working closely with business stakeholders to translate emerging AI capabilities into practical applications.

Responsibilities

The Skills You Bring

Bachelor's degree or equivalent experience with 8+ years of software engineering experience, or a Master's degree with 6+ years of experience.

Proven experience designing and delivering scalable, production-grade software solutions and distributed systems.

Deep expertise building AI-powered applications utilizing large language models (LLMs), agent frameworks, and orchestration platforms (e.g., OpenAI, Claude, Bedrock, LangChain, LangGraph).

Experience developing Retrieval-Augmented Generation (RAG) solutions, semantic search capabilities, and enterprise knowledge systems leveraging vector databases and retrieval frameworks.

Strong full-stack engineering background with modern languages and frameworks such as Python, TypeScript, Node.js, APIs, React, and Next.js.

Hands-on experience deploying and scaling applications within cloud environments such as AWS, Azure, or Google Cloud.

Experience with modern platform engineering and DevOps practices, including containers, Kubernetes, Infrastructure-as-Code, and cloud-native architectures.

Strong understanding of software architecture, design patterns, security, and reliability principles for enterprise-scale applications.

Excellent problem-solving skills, sound technical judgment, and a passion for building innovative solutions.

Ability to collaborate effectively across engineering, data, product, and business teams while driving initiatives from concept to production.

Required Skills

Proven experience designing and delivering scalable, production-grade software solutions and distributed systems.

Deep expertise building AI-powered applications utilizing large language models (LLMs), agent frameworks, and orchestration platforms (e.g., OpenAI, Claude, Bedrock, LangChain, LangGraph).

Experience developing Retrieval-Augmented Generation (RAG) solutions, semantic search capabilities, and enterprise knowledge systems leveraging vector databases and retrieval frameworks.

Strong full-stack engineering background with modern languages and frameworks such as Python, TypeScript, Node.js, APIs, React, and Next.js.

Hands-on experience deploying and scaling applications within cloud environments such as AWS, Azure, or Google Cloud.

Experience with modern platform engineering and DevOps practices, including containers, Kubernetes, Infrastructure-as-Code, and cloud-native architectures.

Strong understanding of software architecture, design patterns, security, and reliability principles for enterprise-scale applications.

Excellent problem-solving skills, sound technical judgment, and a passion for building innovative solutions.

Ability to collaborate effectively across engineering, data, product, and business teams while driving initiatives from concept to production.