Software Engineer

Everpure seeks a Software Engineer to build production-grade Agentic AI solutions using LLMs, multi-agent workflows, and RAG pipelines. The role involves designing secure backend services on AWS, implementing prompt engineering, guardrails, and evaluation frameworks. Candidates need 3-6 years of software engineering experience with Python and LLM-based applications.

• Design and develop production-grade Agentic AI solutions using LLMs, multi-agent workflows, and RAG pipelines. Implement and refine Prompt Engineering strategies. Build secure backend services and REST APIs in Python. Establish robust guardrails, including output validation, fallback strategies, rate limiting, safe tool invocation, and human-in-the-loop patterns. Develop and maintain model evaluation frameworks. Deploy and operate AI services on AWS using Docker and Kubernetes. Apply security best practices and ensure strong observability.

• 3–6 years of professional software engineering experience. Strong proficiency in Python and RESTful APIs. Hands-on experience with LLM-based or Agentic AI applications, including RAG, embeddings, and vector databases. Practical experience in Prompt Engineering. Experience deploying on AWS. Experience with AI guardrails and model validation. Solid understanding of cloud-native security and secure system design.