Agentic AI Engineer: LLMs, AWS & Backend Automation

Everpure; Santa Clara (CA); On-site; USD 149,000 - 224,000; Full time

Job summary

Everpure is seeking a talented Agentic AI Software Engineer to join our Santa Clara team. You will design and deploy LLM‑based services, implement robust guardrails, and build secure, observable AI systems integrated with enterprise platforms.

You will work with Python to create REST APIs, deploy on AWS, and advance agentic workflows, RAG pipelines, and multi‑agent orchestration. This role requires 3–6 years of backend experience and a strong security mindset.

Qualifications

• 3–6 years of professional software engineering experience building backend or distributed systems.
• Strong proficiency in Python and developing RESTful APIs.
• Hands‑on experience building LLM‑based or Agentic AI applications, including RAG, embeddings, and vector database integrations.
• Practical experience in Prompt Engineering and understanding of LLM behavior, limitations, and optimization techniques.
• Experience deploying and operating applications in AWS cloud environments.
• Experience implementing AI guardrails, model validation techniques, and production monitoring.
• Solid understanding of cloud‑native security practices and secure system design.

Responsibilities

• Design and develop production‑grade Agentic AI solutions using LLMs, multi‑agent workflows, and RAG pipelines.
• Implement and refine Prompt Engineering strategies, including structured prompts, tool‑calling, and agent orchestration to ensure reliable and deterministic AI behavior.
• Build secure backend services and REST APIs in Python, integrating AI agents with enterprise systems using microservices architecture.
• Establish robust guardrails, including output validation, fallback strategies, rate limiting, safe tool invocation, and human‑in‑the‑loop patterns where appropriate.
• Develop and maintain model evaluation frameworks, including automated prompt testing, retrieval validation, regression testing, and performance benchmarking.
• Deploy and operate AI services on AWS, leveraging services such as EC2, S3, Lambda, RDS, and containerization using Docker and Kubernetes.
• Apply strong security best practices, including access control, data protection, audit logging, and secure API design.
• Ensure strong observability, monitoring, and reliability of AI‑driven services in production.

Skills

Python

REST APIs

LLM/Agentic AI

AWS

Security practices

DevOps / CI/CD

Tools

Docker

Kubernetes

Vector databases

Pinecone/Weaviate/OpenSearch

Job description

Everpure is seeking a talented Agentic AI Software Engineer to join our Santa Clara team. You will design and deploy LLM‑based services, implement robust guardrails, and build secure, observable AI systems integrated with enterprise platforms.

You will work with Python to create REST APIs, deploy on AWS, and advance agentic workflows, RAG pipelines, and multi‑agent orchestration. This role requires 3–6 years of backend experience and a strong security mindset.