Who We Are
Bidgely (which means "electricity" in Hindi) is an AI-powered SaaS Company accelerating a clean energy future by enabling energy companies and consumers to make data-driven energy-related decisions.
Ranked #7 in Applied AI on Fast Company’s list of Most Innovative Companies in the World, Bidgely is putting customers at the center of the clean energy future
What We Do
Powered by our unique patented technology, Bidgely's UtilityAI™ Platform transforms multiple dimensions of customer data - such as energy consumption, demographics, and interactions into deeply accurate and actionable consumer energy insights. We leverage these insights to empower each customer with personalized recommendations tailored to their individual personality and lifestyle, usage attributes, behavioral patterns, purchase propensity and beyond.
How We Do It
From a distributed energy resources (DER) and grid edge perspective, Bidgely is advancing smart meter innovation with data-driven solutions for solar PVs, electric vehicle (EV) detection, EV behavioral load shifting and managed charging, energy theft, short-term load forecasting, grid analytics and time of use (TOU) rate designs. Bidgely’s UtilityAI™ energy analytics provides deep visibility into generation and consumption for better peak load shaping and grid planning and delivers targeted recommendations for new value-added products and services.
For more information, please visit-
Website: http://bidgely.com
http://bidgely.comblog: bidgely.com/blog
How You Fit In
- Design and deliver scalable GenAI solutions: Architect and implement AI-powered services, APIs, and backend modules using LangChain, LangGraph, FastAPI, and OpenAI models. Understand requirements and develop reusable code using design patterns and component architecture
- Lead prompt engineering initiatives: Design, optimize, and maintain multiple prompt strategies for many energy and utility use cases including conversational AI, bill analysis, root cause analysis, and personalized recommendations
- Engineer for high‐volume workloads: Design and run GenAI pipelines that power millions of moments that matter per year across email, SMS/push, and web touchpoints, and conversational assistants that can scale from small pilots to thousands of customers with millions of users
- Drive AI experimentation: Lead and contribute to AI experiments, evaluate model performance, implement A/B testing frameworks, and iterate based on data-driven insights
- Build event-driven architectures: Develop and maintain SQS-based event processing systems, asynchronous workflows, and distributed AI services
- Implement GenAI best practices: Apply industry best practices for LLM orchestration, RAG (Retrieval-Augmented Generation), vector databases, and agentic AI systems
- Collaborate with cross-functional teams: Work closely with product management, data science, and engineering teams to elicit and understand requirements, identify challenges, and develop innovative solutions
- Mentor junior engineers: Provide technical guidance, code reviews, and knowledge sharing to help
team members grow
- Stay current with GenAI innovations: Research and evaluate the latest tools, technologies, and methodologies in the GenAI space; share knowledge by clearly articulating results and ideas to key decision makers
- Ensure code quality and reliability: Write comprehensive unit tests, implement monitoring and
observability, and maintain high standards for production systems
What Makes You Successful
Required Qualifications
- Education: BS/MS in Computer Science or equivalent
- Experience: 2-4 years of demonstrated experience in developing highly scalable backend and middle-tier applications, with at least 1-2 years focused on Generative AI use cases in production
- GenAI Expertise: Hands-on experience with LangChain, LangGraph, or similar LLM orchestration frameworks; meaningful understanding of prompt engineering, RAG patterns, and agentic AI patterns for various use cases
- API & Microservices: Strong experience in building RESTful APIs using FastAPI, Flask, or similar frameworks; comfort working in a microservices architecture
- Problem Solving: Strong on-the-fly problem solving, fluency with data structures and algorithm design; ability to debug complex AI systems
- System Architecture: Demonstrated explorations in system architecture, web services development, and highly scalable distributed applications
- Communication: Strong communication and collaboration skills; ability to articulate technical concepts to both technical and non-technical stakeholders
- Attention to Detail: Meticulous attention to code quality, performance optimization, and user experience
Preferred Qualification
- Python Strength: Fluency in Python with strong knowledge of async programming, design patterns, and software architecture
- Experience with vector databases (ChromaDB, Pinecone, Weaviate, FAISS) and embedding models
- Knowledge of LangSmith, Langfuse, or other LLM observability and evaluation tools
- Familiarity with AWS services (Bedrock, SQS, S3, Lambda, Parameter Store) and cloud-native architectures
- Experience with PostgreSQL, Redis, and database optimization
- Knowledge of CI/CD pipelines, testing frameworks and eval frameworks (pytest), and DevOps practices with Docker, Kubernetes, and containerized deployments
Diversity, Equity, Inclusion and Equal Opportunity
At Bidgely we’re on a mission to make a difference and build a workplace where every unique voice is heard and celebrated. Here, we believe that celebrating the unique backgrounds, perspectives and abilities of every employee makes an impact not only for our company internally but also for our clients, customers and community. We are an equal opportunity employer and believe that the inclusive atmosphere we build together will enable every person to grow, contribute and thrive. Our hiring decisions are based on your skills, talent, and passion – not on your background, gender, race, age, or the quirky way you dance at office parties
