MTS - Product (India)

Collinear AI, Inc.; Bengaluru; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

Collinear AI, Inc. in Bengaluru is seeking a talented Member of Technical Staff (MTS - Product) to build scalable, user-facing features that bridge high-performance backends with intuitive experiences.

You will enable customers to configure, simulate, and analyze complex workflows through a fast, reliable web application. You will own testing, design robust APIs with Python (FastAPI) and modern frontend frameworks (React/Next.js), and ensure the system scales to handle demanding simulations,

Qualifications

• Experience in Full-Stack or Product Engineering for SaaS products.
• Strong focus on reliability and testing (TDD).
• Proficiency with Python (FastAPI) and asynchronous programming.
• Experience with SQL/NoSQL and data modeling.
• Exposure to AI/ML workflows or NLP/LLM is desirable.
• CI/CD, observability, and scalable architectures.
• Startup or fast-paced environment experience.

Responsibilities

• Own end-to-end testing across feature lifecycle.
• Develop user-facing features with Python and frontend frameworks.
• Build high-performance backends for heavy simulation tasks.
• Orchestrate SimLab core workflows with deterministic execution.
• Design SQL and NoSQL data layers for large-scale telemetry.
• Instrument observability and telemetry across stack.
• Develop clean APIs to connect frontend with AI orchestration.
• Ensure resilience against edge-case inputs.

Skills

Full-Stack

Testing

CI/CD

Observability

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Python (FastAPI)

React/Next.js

Celery

Redis

SQL

NoSQL

Job description

About the Role

We are looking for a talented Member of Technical Staff (MTS - Product) to build scalable features, interactive environments, and user-facing capabilities. In this role, you will bridge the gap between high-performance backends and intuitive user experiences, allowing our customers to seamlessly configure, simulate, and analyze complex workflows. Your primary focus will be on engineering robust, user-centric product features that translate advanced AI/ML capabilities into a seamless, high-performance web application.

Key Responsibilities

• End-to-End Quality Ownership: Implement comprehensive automated testing strategies across the entire feature lifecycle—including rigorous unit, integration, and end-to-end (E2E) testing—to guarantee that complex simulation UI and backend states never regress.


• Scalable Product Features: Architect, build, and maintain robust, user-facing features using Python (FastAPI) and modern frontend frameworks (React/Next.js) to deliver a seamless end-to-end user experience.


• High-Performance Backends: Design and optimize asynchronous backend services capable of handling intensive workloads, coordinating heavy simulation tasks, and managing real-time data streaming.


• SimLab Core Workflows: Own the execution and orchestration layer, ensuring that user-configured simulation environments and data pipelines run deterministically, resiliently, and at scale.


• Data & State Management: Design and optimize both SQL and NoSQL data layers to manage complex user configurations, log high-volume simulation metrics, and retrieve historical telemetry data efficiently.


• API Design & Integration: Build clean, versioned, and intuitive APIs that connect SimLab’s frontend with core AI/ML orchestration engines and external data sources.


• Edge-Case Resilience: Proactively architect error-handling mechanisms and defensive code patterns to ensure our products handle unpredictable simulation inputs, high concurrency, and massive datasets without degrading the user experience.


• Product Observability: Instrument deep telemetry, logging, and error-tracking across the application stack to monitor feature health in production, quickly isolating and resolving quality bottlenecks before they impact users.

Add to About You

• Product Engineering Mindset: Proven experience in a Full-Stack or Product Engineering role, with a passion for building highly interactive, reliable, and user-facing SaaS products (ideally in the developer tool, simulation, or AI space).


• Obsession with Reliability: A strong engineering philosophy centered on code correctness and product stability; you don't consider a feature \"done\" until it is fully tested, documented, and resilient against edge cases.


• Robust Backend Expertise: Strong software development skills in Python (FastAPI) with a deep understanding of asynchronous programming, concurrent systems, and distributed task queues (e.g., Celery, Redis).


• Data Layer Knowledge: Solid understanding of relational and non-relational databases (SQL/NoSQL) and query optimization, particularly for handling large-scale simulation outputs or time-series data.


• AI/ML Familiarity: Prior exposure to AI/ML workflows, training pipelines, or NLP/LLM applications. Experience or a strong interest in interfacing products with Reinforcement Learning (RL) or simulation environments is highly desirable.


• Engineering Culture: A strong champion of clean code, comprehensive testing (TDD), CI/CD best practices, and building highly maintainable, scalable architectures.


• Adaptability: Prior experience in a fast-paced startup or top-tier tech environment where you’ve successfully taken features from ambiguity to production-grade deployment.


• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.