You apply on Symmetry AI's website. CoreHRx takes you there after you sign in.
CoreHRx never asks candidates for money. If anyone does, .
Sign in to see your fit: the skills, experience and location this job asks for, checked against your profile.
Location: India (Remote)
Department: Engineering
We’re solving one of the biggest challenges in modern AI workflows: fragmented context. Today, project knowledge is scattered across conversations, tools, and docs—forcing teams to spend more time steering AI than actually getting work done.
Symmetry brings context, continuity, and observability to AI-powered work, enabling teams to ship faster, work smarter, and maximize productivity across their existing AI stack.
We’re a fast-moving, early-stage team with a proven track record of building and scaling successful AI businesses. Freshly funded and growing, we’re looking for builders who want to help define the next frontier of human–AI collaboration.
You’ll own the systems powering Symmetry’s platform and Intelligence Layer—designing APIs, architecting data systems, and operating production services that are fast, fault-tolerant, and secure.
You’ll work closely with product, design, and research to turn complex ideas into scalable, elegant systems that make AI workflows seamless and trustworthy.
Design, Build, & Maintain APIs: Build reliable, versioned interfaces that power Symmetry’s product and external integrations.
Architect Data Systems: Design and optimize relational, vector, and graph-based data stores that represent interconnected project context.
Build Distributed Services: Develop and scale backend systems using modern Python frameworks and asynchronous processing patterns.
Integrate AI Workflows: Combine retrieval and generation pipelines to deliver context-rich, adaptive intelligence within the platform.
Ensure Reliability & Security: Design for fault tolerance, enforce access control, manage secrets securely, and maintain compliance with data protection standards.
Operate in Production: Deploy, monitor, and optimize services with meaningful metrics, alerts, and incident response practices.
Debug & Optimize: Trace issues end-to-end, fix root causes, and continuously improve system performance and resilience.
Collaborate Cross-Functionally: Partner with frontend, design, and research to deliver reliable, user-centered experiences.
Own the Outcome: Document systems, write tests, and iterate post-launch using real-world feedback.
5+ years building and operating backend or full-stack systems in production environments.
Strong Python fundamentals and experience with modern web frameworks.
Deep understanding of data modeling and SQL with hands-on experience in relational databases.
Experience designing distributed and asynchronous systems for scale and reliability.
Understanding of vector or graph data models and their role in search, retrieval, or knowledge systems.
Solid foundation in cloud-native operations — containerization, orchestration, monitoring, and scaling.
Track record of owning systems end-to-end — from design to post-launch operation.
Awareness of security best practices and compliance principles.
Strong debugging, observability, and incident-management skills.
Clear, proactive communicator comfortable working with product and research partners.
If you thrive on autonomy, clarity, and collaboration and want to build the connective tissue between humans and AI systems, Symmetry is where you’ll do your best work.
From live job posts on CoreHRx, updated 1 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹24L a year (typical for IT Jobs in India, 908 posts).
It is a remote job.
It is a full time job.
You apply on Symmetry AI's website. CoreHRx takes you there after you sign in.
This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.
Create a free profile and we email you new IT jobs you can do remotely, at most once a week.
