
51 - 200 employees
Founded 2011
⚡ Energy
🤖 Artificial Intelligence
☁️ SaaS
💰 $18M Venture Round - Bidgely on 2023-07
Energy • Artificial Intelligence • SaaS
Bidgely is an energy analytics company that provides utilities and energy providers with AI-powered software for customer energy insights, meter data analytics, and appliance-level energy disaggregation (non-intrusive load monitoring). Its platform uses machine learning to analyze smart meter and IoT data to enable customer engagement, demand response, energy efficiency programs, and distributed energy resource (DER) planning. Bidgely sells to enterprise utility customers as a B2B SaaS solution focused on improving customer experience and operational energy programs.
🔥 2 minutes ago
Where this job comes from
Posted on Bidgely's careers page, not through a job board
First seen by Remote Rocketship 2 minutes ago

51 - 200 employees
Founded 2011
⚡ Energy
🤖 Artificial Intelligence
☁️ SaaS
💰 $18M Venture Round - Bidgely on 2023-07
Energy • Artificial Intelligence • SaaS
Bidgely is an energy analytics company that provides utilities and energy providers with AI-powered software for customer energy insights, meter data analytics, and appliance-level energy disaggregation (non-intrusive load monitoring). Its platform uses machine learning to analyze smart meter and IoT data to enable customer engagement, demand response, energy efficiency programs, and distributed energy resource (DER) planning. Bidgely sells to enterprise utility customers as a B2B SaaS solution focused on improving customer experience and operational energy programs.
• Design and build production multi-agent systems including supervisor/router and specialist agents, LangGraph workflows, tool calling, conversation memory, and checkpointing • Build typed tool contracts and data-access layers over Bidgely APIs so the LLM explains results instead of generating numbers • Develop RAG pipelines for utility tariff and knowledge retrieval with tenant-isolated embeddings and retrieval • Manage latency, reliability, and cost through caching, prewarming, retries, circuit breakers, and model routing • Implement guardrails for prompt injection, scope control, authorization, tenant isolation, and data management • Build observability and evaluation hooks with LangSmith and collaborate with SDETs on evaluation datasets, regression suites, and release criteria • Debug agent failures in production using traces, logs, and metrics, and drive root-cause fixes • Support streaming through WebSocket/SSE and widget integration with front-end teams • Lead design and code reviews, set engineering standards, and mentor SDE1 and SDE2 engineers • Communicate designs, trade-offs, and progress to engineering, product, and leadership
• 6–10 years of software engineering experience, including at least 1–2 years building and shipping LLM or GenAI features in production • Strong Python skills and good working knowledge of Java • Hands-on experience with LangChain, LangGraph, or similar agent orchestration frameworks • Experience with LLM APIs (OpenAI, Anthropic, Amazon Bedrock), prompt design, tool/function calling, and structured outputs • Experience building RAG systems with embeddings and vector stores (e.g., pgvector) • Strong backend and API design skills, with experience building scalable, low-latency services • Experience with AWS, containers (EKS), PostgreSQL, Redis, and CI/CD • Experience with evals, LLM-as-judge, or AI observability tools such as LangSmith • Strong system design, analytical, and communication skills • Experience with time-series, IoT, smart meter data, energy and utilities, voice or IVR GenAI products, multi-tenant SaaS, security, or data privacy is nice to have
• Remote work arrangement • Great Place to Work-certified Bengaluru engineering center
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