
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.
🔥 1 minute ago
🇮🇳 India – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
⚙️ Software Development Engineer in Test (SDET)
👻 Ghost score 12%
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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.
• Own test strategy and release quality criteria for the product area • Build and maintain UI automation, API automation and end-to-end regression suites • Design evaluation strategy for AI agents using LLM-as-judge, rubrics and other evaluation techniques • Build eval datasets and automated evaluation suites in Python integrated with CI/CD • Test AI agents for accuracy, consistency, tool usage, safety and data handling • Debug agent failures using LangSmith and similar AI observability tools • Analyse release-over-release quality and identify regressions • Review product requirements and identify gaps in requirements and test coverage • Review test code, set testing standards and mentor SDETs • Communicate findings and recommendations to engineering, product and leadership • Work closely with GenAI engineering, CX engineering and product teams
• 6–9 years in software testing, including hands-on SDET experience • Good working knowledge of Python and Java • Experience owning test strategy and improving automation and release quality • Experience with UI automation using Selenium or Playwright • Experience building API automation and end-to-end frameworks with CI/CD • Ability to analyse product requirements and identify testing gaps • Prior experience testing chatbots, IVRs and GenAI agents • Experience designing evals, rubrics and LLM-as-judge evaluations • Working knowledge of LangChain, LangGraph and LangSmith or similar tools • Experience building eval harnesses or tooling for AI agents • Strong analytical and communication skills
• Remote work arrangement • Certified Great Place to Work engineering center
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