Generative AI Engineer

• Develop, deploy, and maintain LLM-powered applications supporting natural language understanding, conversational search, and intelligent automation.
• Build and optimize RAG pipelines, including embeddings, chunking strategies, retrieval logic, ranking, evaluation, and continuous improvement loops.
• Design and implement agent-based workflows for reasoning, tool usage, routing, and structured task execution.
• Architect and implement high-performance applications and scalable backend systems that incorporate AI capabilities into diverse solutions.

This role creates positive change by advancing sustainable air mobility through AI-driven applications that enhance natural language understanding and integrate intelligence into Archer's product ecosystem, supporting the development of all-electric vertical takeoff and landing aircraft.

• 7–8 years of full-stack engineering experience building scalable, cloud-native applications.
• 2-4+ years of hands-on experience designing and deploying Generative AI applications or LLM-powered systems.
• Practical experience with OpenAI GPT, Azure OpenAI, AWS Bedrock, Gemini, Vertex AI, or similar LLM ecosystems.
• Strong background designing and optimizing RAG architectures and retrieval workflows.

Archer aims to attract, retain, and motivate talent with the skills and leadership needed to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s strategy. For this position, we are targeting a base pay range of $150,000 - $200,000. Actual compensation offered will be determined by job-related knowledge, skills, and experience.

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.