Founded in 2021, Pulsora the "Enterprise Sustainability Platform", is a well‑funded Silicon Valley software startup dedicated to empowering purpose‑driven enterprises to manage and improve their environmental, social, and governance (ESG) and overall sustainability footprint with an integrated, comprehensive, flexible, and innovative technology platform built for compliance, tracking, and insight. We are well funded, have amazing customers across industries and geographies, established strategic partnerships with leading ERP and consulting firms, and are growing fast!

About the job We are seeking a highly skilled and experienced engineer who can independently build and scale full‑stack products while designing and deploying reliable LLM‑powered systems and agent workflows in production.

What you will do

Build & Ship AI‑Powered Products

Design, develop, and deploy LLM‑powered applications and agent‑based systems in production

Own the full product lifecycle from concept → production → iteration across backend and frontend

Build scalable, maintainable systems that solve real customer problems

Design & Operate GenAI Systems

Develop prompt strategies, context management (RAG, memory), and agent workflows

Integrate and optimize across leading LLM APIs (OpenAI, Anthropic, Gemini, open‑source)

Continuously improve system quality, reliability, and performance

Leverage AI‑First Development Workflows

Use AI‑assisted coding tools (e.g., Cursor, Copilot, Claude Code) to accelerate development

Validate, test, and safely integrate AI‑generated code into production systems

Contribute to evolving best practices for AI‑first engineering

Ensure Quality, Reliability & Performance

Own testing strategy including unit, integration,



and end‑to‑end testing

Define and implement evaluation frameworks for AI outputs (quality, consistency, failure modes)

Debug production issues and optimize for latency, cost, and scalability

Take full ownership of system reliability and production stability

Collaborate & Execute in Fast‑Moving Environments

Translate ambiguous requirements into working solutions

Partner with product, design, and customer‑facing teams to deliver impactful features

Collaborate effectively with distributed and offshore engineering teams (requires overlapping with US working hours)

Advance AI & Product Capabilities (Nice to Have Contributions)

Build advanced agent systems (planning, orchestration, parallel execution)

Apply frameworks like LangChain, LangGraph, or similar where appropriate

Explore fine‑tuning, evaluation frameworks, and benchmarking techniques

Contribute to intuitive, user‑friendly AI‑driven experiences and human‑in‑the‑loop workflows

About you

Bachelor’s degree in Computer Science, Engineering, or related field preferred (or equivalent hands‑on experience)

1‑2 years of experience building AI‑powered applications (AI agents or AI‑assisted coding) and deploying LLM‑powered applications or agents in production

Experience integrating major LLM APIs (e.g., OpenAI, Anthropic, Gemini, open‑source)





Working knowledge of prompt design, context management (RAG, memory, tool use), and multi‑step/agentic workflows

Ability to take products from concept to production and iteration across backend and frontend systems, including working across the full engineering lifecycle

Practical experience using tools like Claude Code, Cursor, OpenAI, Microsoft Copilot, including the ability to safely integrate AI‑generated code into production (validation, CI/CD)

Experience debugging production issues, optimizing performance (latency, cost), and building maintainable systems

Ability to define evaluation strategies for AI outputs (quality, consistency, failure modes) and experience with AI‑driven testing and reliability practices A little more about how you like to work

Robust collaboration across a small team, including great communication with both onshore and offshore departments and translating vague requirements into actionable systems.

Self‑motivated and proactive—you create momentum without needing direction A strong problem solver who can navigate ambiguity A builder who cares about shipping real, working products

Comfortable with ownership, accountability, and high expectations

Thrives outside of traditional work structures

You own the quality of the product you build

Why this role?

High ownership and autonomy

Opportunity to build products end‑to‑end using AI‑first workflows

Work at the cutting edge of AI‑driven software development

Work with multiple leading‑edge technologies

Fast‑moving, execution‑focused culture

Work for the industry leader and innovative company

You get to work on a solution that helps the planet and helps us all

📌 Applied AI Engineer - India (Winnipeg)
🏢 Pulsora
📍 Winnipeg