Applied AI Engineer

Role Overview

Join Pulsora as an Applied AI Engineer to design, develop, and deploy LLM-powered applications and agent-based systems in production. You’ll own the full product lifecycle—from concept and iteration to production and ongoing quality/performance improvements.

Key Missions

• Design, develop, and deploy LLM-powered applications and agent-based systems in production
• Own the full product lifecycle (from design to production and iteration)
• Integrate and optimize leading LLM APIs such as OpenAI, Anthropic, Gemini, and open-source options

Responsibilities

• Build scalable, maintainable systems
• Continuously improve system quality and performance (e.g., latency and cost)
• Debug and resolve production issues
• Define and implement evaluation strategies for AI outputs (quality, consistency, failure modes)
• Apply AI-driven testing and reliability practices
• Work across backend and frontend as you take products from concept to production

Requirements

• Experience debugging production issues and optimizing latency and cost
• Experience integrating major LLM APIs (OpenAI, Anthropic, Gemini, and/or open-source)
• 1–2 years of experience building AI-powered applications (AI agents and/or AI-assisted coding) and deploying them in production
• Strong understanding of prompt and system behavior, including:
  • Prompt design
  • Context management (e.g., RAG, memory, tool use)
  • Multi-step/agentic workflows
• Practical experience using tools such as Claude Code, Cursor, OpenAI, and Microsoft Copilot
  • Including safe integration of AI-generated code into production via validation and CI/CD
• Ownership mindset: strong accountability, high expectations, ability to operate in ambiguity

Nice-to-Haves

• Bachelor’s degree in Computer Science/Engineering or equivalent hands-on experience
• Experience working across the full engineering lifecycle
• Evaluation and testing expertise for AI reliability and failure-mode handling

Work Setup

• Full remote