Develop, deploy, and maintain LLM-powered apps for NLU, search, and automation.
Build and optimize RAG pipelines with embeddings and retrieval ranking.
Design agent-based workflows for reasoning, tool usage, and task execution.
Apply advanced prompt engineering to improve LLM reliability and output quality.
Architect high-performance backend apps with integrated AI.
Build full-stack features using React, Node.js/Python, REST/GraphQL.

🎯 Requirements

7-8 years of full-stack cloud-native engineering.
2-4+ years building Generative AI/LLM apps.
Experience with OpenAI GPT, Azure OpenAI, AWS Bedrock, Vertex AI.
Strong RAG architectures and retrieval workflows; Docker/Kubernetes.
Experience with LangChain/LangGraph/LlamaIndex or similar.
Frontend/backend with Node.js/Python, REST APIs, SQL/NoSQL.

🎁 Benefits

Base pay range: $150,000 - $200,000.
Equal Opportunity employer.

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot