Padmi

Product Developers

India · HybridPosted 5 months ago
Software engineeringMid-level
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Product Developers — Full Stack (Senior / Mid / Junior)

India (Hybrid) · Full-Time · Multiple Openings · 4–5 Roles

About THE Role

This is not a typical SaaS engineering role. You will build software that directly interacts with physical infrastructure — sensors, gateways, chillers, air handling units, and the digital twins that model them. Your code will optimize real energy consumption, detect real equipment faults, and provide real intelligence to facility operators.

We are hiring across experience levels. Whether you are a senior engineer who wants to own a critical module, or an early-career developer who wants to grow fast in a high-impact environment, there is a place for you here.

WHAT YOU WILL BUILD

Digital Twin Interfaces:

Visualize and interact with live 3D/2D building digital twins in the browser

Build APIs that serve twin state, alerts, and asset data to front-end and external systems

Develop twin synchronization services that keep the virtual model aligned with physical reality

Real-time Dashboards:

Facility operations views: energy KPIs, IAQ metrics, asset health, fault alerts

Configurable, role-based interfaces for facility managers and energy teams

Backend Services:

Device data ingestion and normalization pipelines

Time-series processing, aggregation, and analytics

Optimization and fault detection logic

Integrations:

IoT gateways, BMS connectors, data stream processors

DevOps & Platform:

CI/CD pipelines, containerized deployments, automated testing

REQUIRED SKILLS

Python — primary backend language:

Data pipelines, analytics services, optimization algorithms, and AI/ML integration

Familiarity with FastAPI, Pandas, NumPy, and scientific Python stack

React / TypeScript — primary frontend stack:

Component-driven UI development, state management (Redux / Zustand), data visualisation

Experience building real-time dashboards with WebSocket or SSE data feeds

AI & Machine Learning:

Integrating AI/ML models into production applications: inference APIs, prediction services

Working with LLM APIs (OpenAI, Anthropic Claude) or frameworks like LangChain

Building AI-augmented features: natural language queries over facility data, automated anomaly summaries, predictive alerts

Backend: REST APIs, microservices, data pipelines

Databases: SQL + time-series (InfluxDB, TimescaleDB) preferred

Digital Twin Awareness (or eagerness to develop it):

Understanding of asset modelling, graph data structures, or BIM concepts is a strong plus

Experience with 3D visualization (Three.js, BabylonJS, or similar) is highly valued

Comfortable with or willing to develop: Docker, CI/CD, cloud or on-prem deployments

Strong emphasis on automated testing and system reliability

TECHNOLOGY STACK

React / TypeScript

Python / FastAPI

InfluxDB / PostgreSQL

Docker / Kubernetes

REST / GraphQL

Three.js / BabylonJS

MQTT / Kafka

AI/ML APIs

LangChain / OpenAI

CI/CD Pipelines

Azure / AWS

Pytest / Jest

Role Levels & Expectations

Level

What We Expect

  • Experience

  • Senior

  • Own a module end-to-end. Mentor juniors. Push technical decisions.

  • 5+ years

  • Mid-Level

  • Deliver features with confidence. Grow into ownership with guidance.

  • 2–4 years

  • Junior

  • Strong fundamentals. Fast learner. Eager to work on real-world systems.

  • 0–2 years

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