Note: The job is a remote job and is open to candidates in USA. Pulsora is a well-funded Silicon Valley software startup dedicated to empowering enterprises to manage their environmental, social, and governance (ESG) footprint. They are seeking a highly skilled engineer to build and scale full-stack products while designing and deploying reliable LLM-powered systems in production.
Responsibilities
- Build & Ship AI-Powered Products
- Design, develop, and deploy LLM-powered applications and agent-based systems in production
- Own the full product lifecycle from concept → production → iteration across backend and frontend
- Build scalable, maintainable systems that solve real customer problems
- Design & Operate GenAI Systems
- Develop prompt strategies, context management (RAG, memory), and agent workflows
- Integrate and optimize across leading LLM APIs (OpenAI, Anthropic, Gemini, open-source)
- Continuously improve system quality, reliability, and performance
- Leverage AI-First Development Workflows
- Use AI-assisted coding tools (e.g., Cursor, Copilot, Claude Code) to accelerate development
- Validate, test, and safely integrate AI-generated code into production systems
- Contribute to evolving best practices for AI-first engineering
- Ensure Quality, Reliability & Performance
- Own testing strategy including unit, integration, and end-to-end testing
- Define and implement evaluation frameworks for AI outputs (quality, consistency, failure modes)
- Debug production issues and optimize for latency, cost, and scalability
- Take full ownership of system reliability and production stability
- Collaborate & Execute in Fast-Moving Environments
- Translate ambiguous requirements into working solutions
- Partner with product, design, and customer-facing teams to deliver impactful features
- Collaborate effectively with distributed and offshore engineering teams
- Advance AI & Product Capabilities (Nice to Have Contributions)
- Build advanced agent systems (planning, orchestration, parallel execution)
- Apply frameworks like LangChain, LangGraph, or similar where appropriate
- Explore fine-tuning, evaluation frameworks, and benchmarking techniques
- Contribute to intuitive, user-friendly AI-driven experiences and human-in-the-loop workflows
Skills
- 1-2 years of experience building AI-powered applications (AI agents or AI-assisted coding) and building and deploying LLM-powered applications or agents in production
- Experience integrating major LLM APIs (e.g., OpenAI, Anthropic, Gemini, open-source)
- Working knowledge of prompt design, context management (RAG, memory, tool use), and multi-step/agentic workflows
- Ability to take products from concept to production and iteration across backend and frontend systems, including working across the full engineering lifecycle
- Practical experience using tools like Claude Code, Cursor, OpenAI, Microsoft Copilot, including the ability to safely integrate AI-generated code into production (validation, CI/CD)
- Experience debugging production issues, optimizing performance (latency, cost), and building maintainable systems
- Ability to define evaluation strategies for AI outputs (quality, consistency, failure modes) and experience with AI-driven testing and reliability practices
- Bachelor's degree in Computer Science, Engineering, or related field preferred (or equivalent hands on experience)
- Ideally have industry and market knowledge of ESG and sustainability
Benefits
- Offers Equity
- The company will pay with salary, equity, and benefits
- Hybrid-friendly work environment, in office 2-3 times per week (for those in New York, San Francisco Bay Area, and Munich)
Company Overview