Sprih- Backend software engineer
Job Description
About the Company
\nSprih ( 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
\ndecisions towards achieving their net-zero goals. Sprih's unified platform offers various tools for efficient carbon management, like carbon emissions
\nand offset analysis, supply chain emissions management, setting science-based targets, providing actionable recommendations for reductions and offsets, streamlined disclosures and ecosystem partner collaboration.
\nCome and become part of a passionate, driven, and action-oriented team, led by seasoned entrepreneurs to craft tomorrow's climate tech!
\nJob Description
\nWe are seeking a self-driven and motivated Backend Software Developer to join the development team at Sprih.
\nAs 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.
\nResponsibilities
\nOwn and evolve the AI team's backend repository, including LLM-based workflows and agent pipelines
\nTake ownership of maturing and hardening existing code for reliable production deployment
\nWrite and maintain unit, integration, and evaluation tests for AI/LLM pipelines
\nSet up and manage evaluation pipelines using LangSmith or Langfuse to monitor model and chain performance
\nWork with the team to design and refactor code for scalability and maintainability
\nIntegrate and manage vector store operations using Qdrant
\nTroubleshoot, debug, and upgrade existing backend services
\nEnforce code structure, conventions, and documentation standards across the repo
\nWork closely within the AI team to translate research and product requirements into robust, scalable backend implementations
\nStay current with LLM tooling, agentic frameworks, and AI backend best practices — with a path toward contributing to agentic product development
\nRequirements
\nBachelor's or Master's degree from top tier institutes.
\n3+ years of experience as a Backend Software Developer.
\nStrong proficiency in Python; ability to write clean, robust, and well-tested code.
\nSolid understanding of software architecture, data structures, and system design.
\nFamiliarity with LLM-based workflows — agents, RAG pipelines, tool-calling, and embeddings.
\nHands-on experience with LangChain or similar orchestration frameworks.
\nExperience with LangSmith or Langfuse for evaluation and observability of LLM pipelines.
\nWorking knowledge of vector stores; experience with Qdrant is a plus.
\nExperience writing test suites including unit, integration, and evaluation tests.
\nExcellent communication skills
\nAbility to work in a team
\nOutstanding analytical and problem-solving skills
\nAttention to details.
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