AI Platform Engineer

About the Company: Sprih (www.sprih.com) is a technology-focused start-up that is catalyzing climate action through its carbon management and accounting platform. Sprih partners with organizations on their sustainability journey by offering meaningful insights and the necessary support to make the right decisions towards achieving their net-zero goals. Sprih’s unified platform offers various tools for efficient carbon management, like carbon emissions and offset analysis, supply chain emissions management, setting science-based targets, providing actionable recommendations for reductions and offsets, streamlined disclosures and ecosystem partner collaboration.

Come and become part of a passionate, driven, and action-oriented team, led by seasoned entrepreneurs to craft tomorrow’s climate tech! Job Description: We are seeking a self-driven and motivated AI Platform Engineer to join the development team at Sprih. As a core member of Sprih's AI team, you will own and maintain the backend codebase that powers our LLM-based features and agent workflows.

You should be a team player with a keen eye for detail and strong problem-solving skills. Your goal will be to keep the codebase clean, well-tested, and production-ready — while deepening your understanding of AI systems and growing toward building agentic products. Responsibilities: Own and evolve the AI team's backend repository, including LLM-based workflows and agent pipelines Take ownership of maturing and hardening existing code for reliable production deployment Write and maintain unit, integration, and evaluation tests for AI/LLM pipelines Set up and manage evaluation pipelines using LangSmith or Langfuse to monitor model and chain performance Work with the team to design and refactor code for scalability and maintainability Integrate and manage vector store operations using Qdrant Troubleshoot, debug, and upgrade existing backend services Enforce code structure, conventions, and documentation standards across the repo Work closely within the AI team to translate research and product requirements into robust, scalable backend implementations Stay current with LLM tooling, agentic frameworks, and AI backend best practices — with a path toward contributing to agentic product development Requirements: Bachelor's or Master's degree from top tier institutes 3+ years of experience as a Backend Software Developer Strong proficiency in Python; ability to write clean, robust, and well-tested code Solid understanding of software architecture, data structures, and system design Familiarity with LLM-based workflows — agents, RAG pipelines, tool-calling, and embeddings Hands-on experience with LangChain or similar orchestration frameworks Experience with LangSmith or Langfuse for evaluation and observability of LLM pipelines Working knowledge of vector stores; experience with Qdrant is a plus Experience writing test suites including unit, integration, and evaluation tests Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills Attention to details If you meet the above requirements and are passionate about building large scale software, we would love to hear from you.