Sr. AI Engineer – Large Language Models & Agentic Systems

About the role

As a Senior AI Engineer – Large Language Models & Agentic Systems , you will make an impact by designing and delivering scalable, production-grade AI applications powered by large language models. You will be a valued member of the AI engineering team and work collaboratively with data scientists, software engineers, and product stakeholders to build intelligent, enterprise-ready solutions.

In this role, you will

Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python

Design and implement retrieval-augmented generation (RAG) pipelines over enterprise datasets using embeddings and vector databases

Build and orchestrate multi-step, tool-using AI agents (planning, execution, and memory) using frameworks such as LangChain or LangGraph

Integrate AI solutions with APIs, backend systems, and cloud platforms to enable scalable deployment

Establish evaluation, reliability, and performance strategies, including accuracy, latency, and cost optimization

Work model

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered

Strong expertise in Python, with experience building and deploying production-grade backend systems

Hands-on experience developing applications using large language models, including prompt engineering and orchestration

Proven experience designing and implementing RAG architectures, including embeddings and vector databases

Exp...