AI/ML Engineer - Agentic AI (Remote)

Location

Remote

Employment Type

Full-Time

Job ID

00070289402

About the Role

As a Senior AI/ML Engineer, you will design, build, and deploy enterprise AI solutions leveraging LLMs, Agentic AI, and RAG architectures. You will collaborate with cross-functional teams to deliver scalable, secure, and production-ready AI applications.

In this role, you will

Build AI solutions using LLMs, agents, and RAG frameworks.

Design scalable AI architectures with workflow orchestration, memory, and state management.

Evaluate AI systems for quality, hallucinations, regression, and agent effectiveness.

Integrate enterprise data sources and develop intelligent AI workflows.

Deploy and manage AI applications using LLMOps/MLOps best practices.

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. We support a healthy work-life balance through our wellbeing programs.

What You Need to Have to Be Considered

8+ years of experience in AI/ML, Data Science, or Software Engineering.

Strong understanding of machine learning algorithms, evaluation metrics, and model validation techniques.

Expertise in Agentic AI concepts, including LLMs, RAG, memory, reasoning, and prompt engineering.

Hands-on experience building AI solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, or similar platforms.

Experience with Python and AI frameworks such as LangChain, LangGraph, Semantic Kernel, or LlamaIndex.

Proven experience evaluating AI systems, detecting hallucinations, and measuring model performance.

Knowledge of scalable architecture, workflow orchestration, and AI governance.

Experience deploying production AI solutions using MLOps/LLMOps practices.

These Will Help You Stand Out

Experience with multi-agent systems and advanced orchestration frameworks.

Cloud expertise in Azure, AWS, or Go