EnergyTech Client #1 | AI Developer at SD Solutions | Torre

EnergyTech Client #1 | AI Developer

Emma highlights
This highlight was written by Emma’s AI. Ask Emma to edit it.
Full-time

Legal agreement: Employment

Provide your expected compensation while applying
location_on
Remote (for United States residents)
Shared by
Emma of Torre.ai
2 months ago

Responsibilities


On behalf of EnergyTech Client #1, SD Solutions is looking for a talented AI Developer to build high-performance, low-latency web applications.SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.You will design, build, and ship end-to-end AI features: from LangChain/LangGraph orchestration logic on the backend to the interfaces that expose those capabilities to our users.Responsibilities:Backend / AI-based features - must have: Design, implement, and own multi-step agentic flows using LangChain, LangGraph, and similar.Build tools, agents, and chains that connect to live data sources (APIs, databases, time-series feeds)Integrate LLMs (Claude, GPT, Gemini, etc') into reliable, observable pipelinesOwn prompt engineering, context management, and output validationExperience working in large-scale and big data environmentsDeploy and monitor AI services on AWS or AzureInstrument flows with logging and tracing so we can debug and improve themFrontend - big advantage:Build React interfaces that surface AI outputs: summaries, alerts, recommendations, and interactive co-pilot featuresConnect frontend components to streaming AI responsesWrite clean, maintainable TypeScript codeRequirements:6+ years of full-stack development experienceHands-on, production-grade experience with LangChain and LangGraph or similar agentic orchestration in production, not just tutorialsStrong Python for AI/backend work and TypeScript/React for frontendExperience integrating LLMs via API (Bedrock, GCP Agent Platform, or similar)Familiarity with vector stores, RAG pipelines, and structured output parsingComfort working in a fast-moving startup environment where you own your features end-to-endNice to HaveExperience in energy, IoT, or industrial data domainsExperience with data pipelines such as Lambda/Medallion with data integrity validationsFamiliarity with LangFuse or other LLM observability toolsExperience with MongoDB Atlas, ClickHouse, and time-series dataAbout the company:A centralized platform for managing and monitoring renewable energy infrastructure. The solution consolidates digital asset data in a single environment, leveraging real-time monitoring and machine learning algorithms to optimize operational performance and reduce energy consumption at scale.