Sr. AI Engineer

As an early member of this organization, you will play a key role in designing, building, and delivering AI-powered solutions from concept through production. This position offers the opportunity to collaborate closely with business partners, product teams, architects, data scientists, and fellow engineers to identify high-value opportunities and develop secure, scalable, enterprise-grade AI capabilities that drive important business outcomes., This role is ideal for a hands-on Sr. AI Engineer who thrives at the intersection of AI, software engineering, data engineering, and cloud technologies. Successful candidates will possess strong technical expertise and a passion for building innovative solutions, partnering with cross-functional teams to translate business needs into practical AI applications. The ideal individual enjoys solving complex technical challenges, developing production-ready systems, and working towards the evolution of modern AI platforms and capabilities.

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 optimally across engineering, data, product, and business teams while driving initiatives from concept to production., Bachelor’s degree or equivalent experience with 5+ years of software engineering 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.

skills:

AWS,APIs,AI,AI engineering,AI solutions,artificial intelligence,AI capabilities,AI applications,cloud technologies,cloud-native architectures,cloud environments,cloud platform,decision support,DevOps practices,distributed systems,Retrieval-Augmented Generation (RAG),Google Cloud,data engineering,knowledge systems,orchestration platforms,Kubernetes,large language models,LLMs,LLM,Azure,agent frameworks,Next.js,Node.js,productivity tools,Python,React,recommendation systems,semantic search,AI-powered applications,software architecture,design patterns,software engineering,software solutions,TypeScript,passion,problem-solving skills,reliability,administrative,advanced analytics,automation,Automated,automate,brand,business needs,client experience,client engagement,communication channels,full-stack engineering,Infrastructure,innovative,innovative solutions,Investments,platform engineering,Use Cases,security,vector databases,workflows,Workflow automation